tensorflow/models

Project: models (GitHub Link)

models-master
- .github
  - PULL_REQUEST_TEMPLATE.md
  - ISSUE_TEMPLATE
    - 60-questions-help-issue.md
    - 30-research-bug-report-issue.md
    - 20-official-feature-request-issue.md
    - 10-official-documentation-issue.md
    - 40-research-documentation-issue.md
    - 00-official-bug-report-issue.md
    - 50-research-feature-request-issue.md
    - config.yml
  - README_TEMPLATE.md
- AUTHORS
- official
  - recommendation
    - neumf_model.py
    - data_pipeline.py
    - data_test.py
    - data_preprocessing.py
    - ncf_common.py
    - stat_utils.py
    - run.sh
    - create_ncf_data.py
    - constants.py
    - __init__.py
    - README.md
    - ncf_test.py
    - movielens.py
    - popen_helper.py
    - ncf_input_pipeline.py
    - ncf_keras_main.py
  - utils
    - hyperparams_flags.py
    - misc
      - distribution_utils_test.py
      - keras_utils.py
      - distribution_utils.py
      - callstack_sampler.py
      - __init__.py
      - model_helpers.py
      - tpu_lib.py
      - model_helpers_test.py
    - registry.py
    - __init__.py
    - registry_test.py
    - flags
      - flags_test.py
      - guidelines.md
      - _misc.py
      - __init__.py
      - README.md
      - _benchmark.py
      - _performance.py
      - core.py
      - _base.py
      - _conventions.py
      - _device.py
      - _distribution.py
    - testing
      - pylint.rcfile
      - __init__.py
      - scripts
        builds_common.sh
        ci_sanity.sh
        presubmit.sh
      - integration.py
  - modeling
    - training
      - distributed_executor.py
      - __init__.py
    - hyperparams
      - params_dict_test.py
      - oneof.py
      - base_config.py
      - base_config_test.py
      - params_dict.py
      - oneof_test.py
      - __init__.py
      - config_definitions.py
    - optimization
      - optimizer_factory_test.py
      - configs
        learning_rate_config.py
        optimization_config.py
        __init__.py
        optimizer_config.py
        optimization_config_test.py
      - __init__.py
      - lr_schedule.py
      - optimizer_factory.py
    - activations
      - swish.py
      - gelu.py
      - swish_test.py
      - gelu_test.py
      - __init__.py
    - tf_utils.py
    - __init__.py
    - performance.py
  - nlp
    - modeling
      - layers
        util.py
        dense_einsum.py
        transformer.py
        transformer_scaffold_test.py
        transformer_scaffold.py
        position_embedding.py
        talking_heads_attention.py
        masked_softmax.py
        attention_test.py
        self_attention_mask.py
        on_device_embedding_test.py
        masked_lm_test.py
        attention.py
        masked_lm.py
        multi_channel_attention_test.py
        rezero_transformer_test.py
        cls_head_test.py
        position_embedding_test.py
        cls_head.py
        multi_channel_attention.py
        __init__.py
        README.md
        transformer_test.py
        dense_einsum_test.py
        on_device_embedding.py
        rezero_transformer.py
        talking_heads_attention_test.py
        gated_feedforward_test.py
        gated_feedforward.py
        masked_softmax_test.py
      - networks
        albert_transformer_encoder_test.py
        token_classification.py
        transformer_encoder.py
        token_classification_test.py
        albert_transformer_encoder.py
        encoder_scaffold_test.py
        classification.py
        span_labeling.py
        transformer_encoder_test.py
        __init__.py
        README.md
        encoder_scaffold.py
        classification_test.py
        span_labeling_test.py
      - models
        bert_pretrainer.py
        electra_pretrainer_test.py
        bert_classifier_test.py
        electra_pretrainer.py
        bert_token_classifier_test.py
        bert_span_labeler.py
        bert_span_labeler_test.py
        bert_pretrainer_test.py
        __init__.py
        README.md
        bert_token_classifier.py
        bert_classifier.py
      - losses
        weighted_sparse_categorical_crossentropy.py
        __init__.py
        weighted_sparse_categorical_crossentropy_test.py
        README.md
      - __init__.py
      - README.md
    - xlnet
      - preprocess_squad_data.py
      - preprocess_utils.py
      - xlnet_modeling_test.py
      - squad_utils.py
      - optimization.py
      - common_flags.py
      - run_squad.py
      - classifier_utils.py
      - run_classifier.py
      - run_pretrain.py
      - preprocess_classification_data.py
      - __init__.py
      - README.md
      - training_utils.py
      - preprocess_pretrain_data.py
      - data_utils.py
      - xlnet_modeling.py
      - xlnet_config.py
    - transformer
      - embedding_layer.py
      - optimizer.py
      - data_pipeline.py
      - misc.py
      - utils
        tokenizer.py
        metrics.py
        tokenizer_test.py
        __init__.py
      - transformer.py
      - beam_search_v1.py
      - metrics.py
      - beam_search_v1_test.py
      - compute_bleu_test.py
      - model_utils_test.py
      - attention_layer.py
      - transformer_main_test.py
      - compute_bleu.py
      - transformer_layers_test.py
      - __init__.py
      - data_download.py
      - README.md
      - transformer_test.py
      - model_params.py
      - translate.py
      - ffn_layer.py
      - model_utils.py
      - beam_search.py
      - transformer_main.py
    - optimization.py
    - data
      - squad_lib.py
      - tagging_data_loader.py
      - sentence_retrieval_lib.py
      - tagging_data_lib.py
      - data_loader_factory.py
      - squad_lib_sp.py
      - classifier_data_lib.py
      - question_answering_dataloader.py
      - create_pretraining_data.py
      - pretrain_dataloader.py
      - sentence_prediction_dataloader.py
      - __init__.py
      - create_finetuning_data.py
    - configs
      - bert_test.py
      - bert.py
      - electra_test.py
      - __init__.py
      - electra.py
      - encoders.py
    - tasks
      - sentence_prediction.py
      - question_answering.py
      - tagging.py
      - masked_lm_test.py
      - masked_lm.py
      - sentence_prediction_test.py
      - __init__.py
      - utils.py
      - tagging_test.py
      - question_answering_test.py
    - __init__.py
    - README.md
    - nhnet
      - optimizer.py
      - configs.py
      - decoder.py
      - evaluation.py
      - raw_data_processor.py
      - testdata
        vocab.txt
        crawled_articles
        domain_1.com
        url_001.json
        url_001.html
        domain_0.com
        url_000.html
        url_000.json
        stories.json
      - decoder_test.py
      - raw_data_process.py
      - models.py
      - models_test.py
      - input_pipeline.py
      - __init__.py
      - README.md
      - utils.py
      - trainer_test.py
      - trainer.py
      - configs_test.py
    - albert
      - tf2_albert_encoder_checkpoint_converter.py
      - configs.py
      - export_albert_tfhub_test.py
      - export_albert_tfhub.py
      - run_squad.py
      - run_classifier.py
      - __init__.py
      - README.md
    - bert
      - export_tfhub.py
      - squad_evaluate_v1_1.py
      - bert_models.py
      - run_pretraining.py
      - model_saving_utils.py
      - configs.py
      - run_squad_helper.py
      - squad_evaluate_v2_0.py
      - model_training_utils_test.py
      - export_tfhub_test.py
      - bert_models_test.py
      - common_flags.py
      - run_squad.py
      - model_training_utils.py
      - tf2_encoder_checkpoint_converter.py
      - tf1_checkpoint_converter_lib.py
      - run_classifier.py
      - serving.py
      - input_pipeline.py
      - __init__.py
      - bert_cloud_tpu.md
      - README.md
      - tokenization.py
      - tokenization_test.py
  - README-TPU.md
  - pip_package
    - setup.py
  - LICENSE
  - __init__.py
  - README.md
  - colab
    - fine_tuning_bert.ipynb
  - requirements.txt
  - core
    - input_reader.py
    - base_task.py
    - __init__.py
  - vision
    - image_classification
      - augment_test.py
      - optimizer_factory_test.py
      - test_utils.py
      - classifier_trainer_test.py
      - mnist_main.py
      - learning_rate.py
      - resnet
        tfhub_export.py
        resnet_config.py
        resnet_runnable.py
        resnet_model.py
        common.py
        __init__.py
        README.md
        resnet_ctl_imagenet_main.py
        imagenet_preprocessing.py
      - preprocessing.py
      - augment.py
      - configs
        configs.py
        examples
        resnet
        imagenet
        tpu.yaml
        gpu.yaml
        efficientnet
        imagenet
        efficientnet-b0-tpu.yaml
        efficientnet-b1-tpu.yaml
        efficientnet-b0-gpu.yaml
        efficientnet-b1-gpu.yaml
        __init__.py
        base_configs.py
      - __init__.py
      - README.md
      - callbacks.py
      - mnist_test.py
      - learning_rate_test.py
      - efficientnet
        efficientnet_config.py
        tfhub_export.py
        efficientnet_model.py
        common_modules.py
        __init__.py
      - dataset_factory.py
      - classifier_trainer.py
      - optimizer_factory.py
    - detection
      - utils
        input_utils.py
        mask_utils.py
        __init__.py
        dataloader_utils.py
        object_detection
        balanced_positive_negative_sampler.py
        region_similarity_calculator.py
        ops.py
        visualization_utils.py
        shape_utils.py
        target_assigner.py
        preprocessor.py
        minibatch_sampler.py
        box_list_ops.py
        box_list.py
        faster_rcnn_box_coder.py
        argmax_matcher.py
        matcher.py
        box_coder.py
        __init__.py
        box_utils.py
        class_utils.py
      - modeling
        retinanet_model.py
        learning_rates.py
        optimizers.py
        maskrcnn_model.py
        factory.py
        base_model.py
        losses.py
        architecture
        fpn.py
        identity.py
        factory.py
        spinenet.py
        resnet.py
        heads.py
        __init__.py
        nn_blocks.py
        nn_ops.py
        shapemask_model.py
        __init__.py
        checkpoint_utils.py
      - executor
        detection_executor.py
        __init__.py
      - dataloader
        input_reader.py
        maskrcnn_parser.py
        anchor.py
        retinanet_parser.py
        factory.py
        __init__.py
        tf_example_decoder.py
        shapemask_parser.py
        mode_keys.py
      - evaluation
        factory.py
        coco_utils.py
        __init__.py
        coco_evaluator.py
      - configs
        base_config.py
        factory.py
        retinanet_config.py
        maskrcnn_config.py
        __init__.py
        shapemask_config.py
      - __init__.py
      - main.py
      - README.md
      - ops
        postprocess_ops.py
        target_ops.py
        spatial_transform_ops.py
        __init__.py
        nms.py
        roi_ops.py
    - __init__.py
  - staging
    - training
      - runnable.py
      - controller_test.py
      - standard_runnable.py
      - grad_utils.py
      - controller.py
      - __init__.py
      - utils.py
    - __init__.py
  - benchmark
    - perfzero_benchmark.py
    - bert_benchmark.py
    - xlnet_benchmark.py
    - bert_benchmark_utils.py
    - keras_benchmark.py
    - owner_utils_test.py
    - models
      - resnet_cifar_model.py
      - shakespeare
        shakespeare_main.py
        __init__.py
        README.md
      - synthetic_util.py
      - resnet_imagenet_main.py
      - cifar_preprocessing.py
      - resnet_imagenet_test_tpu.py
      - __init__.py
      - resnet_cifar_test.py
      - resnet_cifar_main.py
      - resnet_imagenet_test.py
    - datastore
      - schema
        benchmark_run.json
        benchmark_run_status.json
        benchmark_metric.json
    - bert_squad_benchmark.py
    - bert_pretrain_benchmark.py
    - transformer_benchmark.py
    - keras_cifar_benchmark.py
    - ncf_keras_benchmark.py
    - keras_imagenet_benchmark.py
    - owner_utils.py
    - resnet_ctl_imagenet_benchmark.py
    - __init__.py
    - retinanet_benchmark.py
    - tfhub_memory_usage_benchmark.py
    - nhnet_benchmark.py
    - shakespeare_benchmark.py
    - benchmark_wrappers.py
    - unet3d_benchmark.py
- ISSUES.md
- LICENSE
- CONTRIBUTING.md
- community
  - README.md
- README.md
- research
  - textsum
    - BUILD
    - data.py
    - seq2seq_attention_decode.py
    - data_convert_example.py
    - data
      - data
      - vocab
    - batch_reader.py
    - README.md
    - seq2seq_attention.py
    - seq2seq_attention_model.py
    - beam_search.py
    - seq2seq_lib.py
  - adv_imagenet_models
    - inception_resnet_v2.py
    - eval_on_adversarial.py
    - README.md
    - imagenet.py
  - global_objectives
    - util.py
    - util_test.py
    - loss_layers_example.py
    - test_all.py
    - README.md
    - loss_layers.py
    - loss_layers_test.py
  - street
    - g3doc
      - vgslspecs.md
    - testdata
      - arial-32-tiny
      - numbers-16-tiny
      - charset_size_10.txt
      - numbers.charset_size=12.txt
      - mnist-tiny
      - charset_size=134.txt
      - arial.charset_size=105.txt
    - python
      - fsns_urls.py
      - fsns_urls.txt
      - vgsl_train.py
      - decoder.py
      - vgsl_model.py
      - decoder_test.py
      - vgslspecs_test.py
      - errorcounter_test.py
      - shapes_test.py
      - vgsl_eval.py
      - errorcounter.py
      - vgsl_input.py
      - nn_ops.py
      - vgsl_model_test.py
      - shapes.py
      - vgslspecs.py
    - README.md
    - cc
      - rnn_ops.cc
  - efficient-hrl
    - utils
      - eval_utils.py
      - __init__.py
      - utils.py
    - eval.py
    - train_utils.py
    - run_eval.py
    - run_train.py
    - run_env.py
    - context
      - gin_imports.py
      - gin_utils.py
      - rewards_functions.py
      - configs
        ant_block.gin
        ant_block_maze.gin
        ant_push_multi_img.gin
        point_maze.gin
        hiro_repr.gin
        ant_fall_multi_img.gin
        ant_push_single.gin
        default.gin
        ant_maze_img.gin
        hiro_xy.gin
        ant_maze.gin
        hiro_orig.gin
        ant_push_multi.gin
        ant_fall_single.gin
        ant_fall_multi.gin
      - __init__.py
      - samplers.py
      - context.py
      - context_transition_functions.py
    - agents
      - ddpg_networks.py
      - __init__.py
      - circular_buffer.py
      - ddpg_agent.py
    - train.py
    - configs
      - eval_uvf.gin
      - base_uvf.gin
      - train_uvf.gin
    - agent.py
    - README.md
    - scripts
      - local_train.py
      - local_eval.py
    - cond_fn.py
    - environments
      - point.py
      - maze_env_utils.py
      - ant_maze_env.py
      - create_maze_env.py
      - __init__.py
      - point_maze_env.py
      - ant.py
      - maze_env.py
      - assets
        ant.xml
  - marco
    - request.json
    - Automated_Marco.py
    - jpeg2json.py
    - README.md
  - autoencoder
    - autoencoder_models
      - DenoisingAutoencoder.py
      - VariationalAutoencoder.py
      - Autoencoder.py
      - __init__.py
    - VariationalAutoencoderRunner.py
    - MaskingNoiseAutoencoderRunner.py
    - AdditiveGaussianNoiseAutoencoderRunner.py
    - AutoencoderRunner.py
    - __init__.py
    - README.md
  - lfads
    - distributions.py
    - lfads.py
    - run_lfads.py
    - synth_data
      - trained_itb
        model-65000.index
        model-65000.data-00000-of-00001
      - generate_itb_data.py
      - run_generate_synth_data.sh
      - synthetic_data_utils.py
      - generate_chaotic_rnn_data.py
      - generate_labeled_rnn_data.py
    - README.md
    - utils.py
    - plot_lfads.py
  - swivel
    - analogy.cc
    - nearest.py
    - swivel.py
    - eval.mk
    - wordsim.py
    - text2bin.py
    - distributed.sh
    - prep.py
    - fastprep.cc
    - fastprep.mk
    - README.md
    - .gitignore
    - vecs.py
    - glove_to_shards.py
  - slim
    - BUILD
    - datasets
      - download_and_convert_imagenet.sh
      - download_and_convert_visualwakewords.py
      - dataset_utils.py
      - cifar10.py
      - preprocess_imagenet_validation_data.py
      - download_and_convert_visualwakewords_lib.py
      - mnist.py
      - visualwakewords.py
      - download_and_convert_cifar10.py
      - flowers.py
      - __init__.py
      - download_and_convert_mnist.py
      - download_imagenet.sh
      - imagenet_lsvrc_2015_synsets.txt
      - download_and_convert_flowers.py
      - build_imagenet_data.py
      - imagenet.py
      - dataset_factory.py
      - process_bounding_boxes.py
    - download_and_convert_data.py
    - train_image_classifier.py
    - export_inference_graph.py
    - deployment
      - __init__.py
      - model_deploy_test.py
      - model_deploy.py
    - slim_walkthrough.ipynb
    - setup.py
    - nets
      - s3dg.py
      - vgg.py
      - i3d.py
      - inception_utils.py
      - inception_v3.py
      - alexnet.py
      - inception_v3_test.py
      - cifarnet.py
      - pix2pix.py
      - lenet.py
      - cyclegan_test.py
      - dcgan.py
      - inception_resnet_v2_test.py
      - mobilenet_v1.py
      - mobilenet_v1_train.py
      - cyclegan.py
      - resnet_v1.py
      - alexnet_test.py
      - nets_factory.py
      - mobilenet_v1_eval.py
      - s3dg_test.py
      - i3d_test.py
      - resnet_v1_test.py
      - nets_factory_test.py
      - i3d_utils.py
      - resnet_utils.py
      - post_training_quantization.py
      - inception_v1.py
      - inception_resnet_v2.py
      - dcgan_test.py
      - pix2pix_test.py
      - inception_v2.py
      - vgg_test.py
      - overfeat.py
      - mobilenet_v1.md
      - mobilenet
        g3doc
        conv_blocks.py
        mobilenet_example.ipynb
        mobilenet.py
        mobilenet_v2_test.py
        mobilenet_v2.py
        mobilenet_v3_test.py
        __init__.py
        README.md
        mobilenet_v3.py
      - __init__.py
      - inception_v4.py
      - inception_v4_test.py
      - overfeat_test.py
      - resnet_v2_test.py
      - inception.py
      - mobilenet_v1_test.py
      - resnet_v2.py
      - inception_v1_test.py
      - inception_v2_test.py
      - nasnet
        pnasnet.py
        nasnet_utils.py
        nasnet_utils_test.py
        nasnet.py
        __init__.py
        nasnet_test.py
        README.md
        pnasnet_test.py
    - __init__.py
    - README.md
    - eval_image_classifier.py
    - scripts
      - finetune_inception_v3_on_flowers.sh
      - train_cifarnet_on_cifar10.sh
      - finetune_inception_v1_on_flowers.sh
      - finetune_inception_resnet_v2_on_flowers.sh
      - export_mobilenet.sh
      - train_lenet_on_mnist.sh
      - finetune_resnet_v1_50_on_flowers.sh
    - preprocessing
      - vgg_preprocessing.py
      - cifarnet_preprocessing.py
      - inception_preprocessing.py
      - lenet_preprocessing.py
      - __init__.py
      - preprocessing_factory.py
    - export_inference_graph_test.py
    - WORKSPACE
  - maskgan
    - regularization
      - variational_dropout.py
      - zoneout.py
      - __init__.py
    - nas_utils
      - configs.py
      - variational_dropout.py
      - custom_cell.py
      - __init__.py
    - train_mask_gan.py
    - sample_shuffler.py
    - models
      - rnn_vd.py
      - rnn_nas.py
      - rollout.py
      - critic_vd.py
      - bidirectional_vd.py
      - evaluation_utils.py
      - attention_utils.py
      - seq2seq_nas.py
      - seq2seq_vd.py
      - feedforward.py
      - cnn.py
      - bidirectional.py
      - seq2seq_zaremba.py
      - rnn_zaremba.py
      - bidirectional_zaremba.py
      - __init__.py
      - seq2seq.py
      - rnn.py
    - losses
      - losses.py
      - __init__.py
    - data
      - ptb_loader.py
      - __init__.py
      - imdb_loader.py
    - generate_samples.py
    - README.md
    - model_utils
      - variable_mapping.py
      - model_construction.py
      - __init__.py
      - model_losses.py
      - helper.py
      - model_utils.py
      - model_optimization.py
      - n_gram.py
    - pretrain_mask_gan.py
  - qa_kg
    - exp_1_hop
      - config.py
      - train_gt_layout.py
      - test.py
    - model_n2nmn
      - modules.py
      - assembler.py
      - model.py
      - __init__.py
      - netgen_att.py
    - util
      - nn.py
      - misc.py
      - data_reader.py
      - __init__.py
    - README.md
  - video_prediction
    - push_datafiles.txt
    - download_data.sh
    - prediction_train.py
    - prediction_input.py
    - lstm_ops.py
    - README.md
    - prediction_model.py
  - attention_ocr
    - python
      - sequence_layers_test.py
      - data_provider.py
      - datasets
        fsns_test.py
        testdata
        fsns
        charset_size=134.txt
        download_data.py
        links.txt
        fsns.py
        unittest_utils.py
        __init__.py
        unittest_utils_test.py
      - eval.py
      - metrics_test.py
      - demo_inference_test.py
      - data_provider_test.py
      - testdata
      - model_test.py
      - metrics.py
      - common_flags.py
      - inception_preprocessing.py
      - model.py
      - demo_inference.py
      - sequence_layers.py
      - train.py
      - all_jobs.screenrc
      - utils.py
    - README.md
  - feelvos
    - datasets
      - download_and_convert_davis17.sh
      - video_dataset.py
      - build_davis2017_data.py
      - tfsequence_example_decoder.py
      - __init__.py
    - utils
      - eval_utils.py
      - mask_damaging.py
      - train_utils.py
      - video_input_generator.py
      - embedding_utils_test.py
      - embedding_utils.py
      - __init__.py
    - input_preprocess.py
    - train.sh
    - LICENSE
    - vis_video.py
    - CONTRIBUTING.md
    - model.py
    - train.py
    - common.py
    - __init__.py
    - README.md
    - correlation_cost
      - get_code.sh
      - compile.sh
      - fix_code.sh
      - clone_dependencies.sh
      - README.md
      - build.sh
    - eval.sh
  - cognitive_mapping_and_planning
    - src
      - depth_utils.py
      - graph_utils.py
      - file_utils.py
      - map_utils.py
      - __init__.py
      - utils.py
      - rotation_utils.py
    - datasets
      - nav_env.py
      - factory.py
      - __init__.py
      - nav_env_config.py
    - render
      - depth_rgb_encoded.vp
      - rgb_flat_color.vp
      - rgb_flat_color.fp
      - __init__.py
      - swiftshader_renderer.py
      - depth_rgb_encoded.fp
    - output
      - README.md
      - .gitignore
    - data
      - README.md
      - .gitignore
    - __init__.py
    - README.md
    - matplotlibrc
    - patches
      - apply_patches.sh
      - GLES2_2_0.py.patch
      - ctypesloader.py.patch
    - scripts
      - script_env_vis.py
      - script_download_init_models.sh
      - script_nav_agent_release.py
      - script_preprocess_meshes_S3DIS.sh
      - script_plot_trajectory.py
      - script_distill.py
      - __init__.py
      - script_preprocess_annoations_S3DIS.py
      - script_test_pretrained_models.sh
      - script_preprocess_annoations_S3DIS.sh
    - requirements.txt
    - tfcode
      - nav_utils.py
      - cmp_summary.py
      - cmp.py
      - cmp_utils.py
      - vision_baseline_lstm.py
      - tf_utils.py
      - __init__.py
    - .gitignore
    - cfgs
      - config_common.py
      - config_cmp.py
      - config_vision_baseline.py
      - __init__.py
      - config_distill.py
  - learned_optimizer
    - BUILD
    - metarun.py
    - metaopt.py
    - problems
      - BUILD
      - problem_sets.py
      - model_adapter.py
      - datasets.py
      - problem_spec.py
      - problem_generator.py
    - optimizer
      - BUILD
      - learning_rate_schedule.py
      - coordinatewise_rnn.py
      - global_learning_rate.py
      - rnn_cells.py
      - trainable_optimizer.py
      - trainable_adam.py
      - utils.py
      - hierarchical_rnn.py
    - README.md
    - .gitignore
  - fivo
    - run_fivo.py
    - fivo
      - ghmm_runners_test.py
      - runners_test.py
      - test_utils.py
      - runners.py
      - nested_utils_test.py
      - bounds_test.py
      - models
        ghmm.py
        ghmm_test.py
        vrnn_test.py
        srnn_test.py
        srnn.py
        __init__.py
        vrnn.py
        base.py
      - ghmm_runners.py
      - test_data
        tiny_pianoroll.pkl
        tiny_speech_dataset.tfrecord
      - nested_utils.py
      - data
        datasets.py
        create_timit_dataset.py
        __init__.py
        datasets_test.py
        calculate_pianoroll_mean.py
      - smc.py
      - smc_test.py
      - __init__.py
      - bounds.py
    - .gitattributes
    - experimental
      - data.py
      - summary_utils.py
      - models.py
      - run.sh
      - train.py
      - README.md
      - bounds.py
    - README.md
    - bin
      - run_tests.sh
      - run_train.sh
      - download_pianorolls.sh
      - run_eval.sh
      - run_sample.sh
    - .gitignore
  - lstm_object_detection
    - evaluator.py
    - utils
      - config_util_test.py
      - config_util.py
      - __init__.py
    - export_tflite_lstd_graph_lib.py
    - eval.py
    - test_tflite_model.py
    - g3doc
      - exporting_models.md
    - builders
      - graph_rewriter_builder.py
      - __init__.py
      - graph_rewriter_builder_test.py
    - protos
      - input_reader_google.proto
      - quant_overrides.proto
      - pipeline.proto
      - __init__.py
    - lstm
      - rnn_decoder_test.py
      - utils_test.py
      - lstm_cells.py
      - __init__.py
      - lstm_cells_test.py
      - utils.py
      - rnn_decoder.py
    - tflite
      - BUILD
      - mobile_lstd_tflite_client.h
      - utils
        BUILD
        conversion_utils_test.cc
        conversion_utils.cc
        ssd_utils.cc
        file_utils.cc
        file_utils.h
        conversion_utils.h
        ssd_utils.h
      - mobile_lstd_tflite_client.cc
      - mobile_ssd_client.cc
      - protos
        BUILD
        proto_config.asciipb
        box_encodings.proto
        detections.proto
        mobile_ssd_client_options.proto
        anchor_generation_options.proto
        labelmap.proto
      - mobile_ssd_tflite_client.cc
      - mobile_ssd_tflite_client.h
      - mobile_ssd_client.h
      - WORKSPACE
    - models
      - mobilenet_defs_test.py
      - lstm_ssd_interleaved_mobilenet_v2_feature_extractor_test.py
      - lstm_ssd_mobilenet_v1_feature_extractor.py
      - lstm_ssd_interleaved_mobilenet_v2_feature_extractor.py
      - lstm_ssd_mobilenet_v1_feature_extractor_test.py
      - __init__.py
      - mobilenet_defs.py
    - inputs
      - tf_sequence_example_decoder_test.py
      - seq_dataset_builder.py
      - seq_dataset_builder_test.py
      - tf_sequence_example_decoder.py
      - __init__.py
    - model_builder_test.py
    - meta_architectures
      - lstm_ssd_meta_arch.py
      - lstm_ssd_meta_arch_test.py
      - __init__.py
    - train.py
    - configs
      - lstm_ssd_mobilenet_v1_imagenet.config
      - lstm_ssd_interleaved_mobilenet_v2_imagenet.config
    - __init__.py
    - README.md
    - export_tflite_lstd_model.py
    - export_tflite_lstd_graph.py
    - trainer.py
    - metrics
      - __init__.py
      - coco_evaluation_all_frames_test.py
      - coco_evaluation_all_frames.py
    - model_builder.py
  - learning_unsupervised_learning
    - datasets
      - mnist.py
      - common.py
      - __init__.py
    - run_eval.py
    - optimizers.py
    - evaluation.py
    - variable_replace.py
    - architectures
      - common.py
      - __init__.py
      - more_local_weight_update.py
    - summary_utils.py
    - __init__.py
    - README.md
    - utils.py
    - meta_objective
      - linear_regression.py
      - __init__.py
      - utils.py
      - sklearn.py
    - .gitignore
  - adversarial_logit_pairing
    - datasets
      - imagenet_input.py
      - tiny_imagenet_input.py
      - __init__.py
      - dataset_factory.py
    - eval.py
    - tiny_imagenet_converter
      - converter.py
    - model_lib.py
    - train.py
    - README.md
    - adversarial_attack.py
  - keypointnet
    - LICENSE
    - CONTRIBUTING.md
    - main.py
    - README.md
    - utils.py
    - tools
      - render.py
      - gen_tfrecords.py
  - neural_gpu
    - wmt_utils.py
    - neural_gpu.py
    - program_utils.py
    - neural_gpu_trainer.py
    - README.md
    - data_utils.py
  - skip_thoughts
    - skip_thoughts
      - BUILD
      - track_perplexity.py
      - skip_thoughts_encoder.py
      - evaluate.py
      - vocabulary_expansion.py
      - skip_thoughts_model_test.py
      - data
        BUILD
        preprocess_dataset.py
        special_words.py
        __init__.py
      - train.py
      - encoder_manager.py
      - __init__.py
      - skip_thoughts_model.py
      - configuration.py
      - ops
        BUILD
        gru_cell.py
        __init__.py
        input_ops.py
    - README.md
    - WORKSPACE
    - .gitignore
  - seq2species
    - test_utils.py
    - seq2label_utils.py
    - protos
      - BUILD
      - seq2label.proto
      - __init__.py
    - build_model.py
    - input.py
    - configuration.py
    - README.md
    - run_training.py
    - run_training_test.py
  - transformer
    - cluttered_mnist.py
    - tf_utils.py
    - example.py
    - data
      - README.md
    - README.md
    - spatial_transformer.py
  - domain_adaptation
    - datasets
      - BUILD
      - mnist_m.py
      - download_and_convert_mnist_m.py
      - __init__.py
      - dataset_factory.py
    - pixel_domain_adaptation
      - BUILD
      - pixelda_losses.py
      - hparams.py
      - pixelda_preprocess.py
      - pixelda_eval.py
      - pixelda_preprocess_test.py
      - pixelda_train.py
      - baselines
        BUILD
        baseline_eval.py
        baseline_train.py
        README.md
      - README.md
      - pixelda_utils.py
      - pixelda_task_towers.py
      - pixelda_model.py
    - domain_separation
      - BUILD
      - grl_ops.cc
      - grl_ops_test.py
      - dsn_eval.py
      - dsn_test.py
      - _grl_ops.so
      - grl_op_kernels.cc
      - losses.py
      - grl_ops.py
      - models.py
      - grl_op_shapes.py
      - models_test.py
      - dsn.py
      - __init__.py
      - utils.py
      - dsn_train.py
      - grl_op_grads.py
      - losses_test.py
    - __init__.py
    - README.md
    - WORKSPACE
  - lm_1b
    - BUILD
    - lm_1b_eval.py
    - README.md
    - data_utils.py
  - sentiment_analysis
    - sentiment_main.py
    - data
      - imdb.py
      - util.py
      - __init__.py
      - dataset.py
    - __init__.py
    - README.md
    - sentiment_model.py
  - audioset
    - yamnet
      - features.py
      - yamnet_visualization.ipynb
      - yamnet.py
      - yamnet_class_map.csv
      - params.py
      - README.md
      - inference.py
      - yamnet_test.py
    - vggish
      - vggish_postprocess.py
      - vggish_input.py
      - vggish_params.py
      - vggish_slim.py
      - vggish_inference_demo.py
      - vggish_smoke_test.py
      - README.md
      - mel_features.py
      - vggish_train_demo.py
    - README.md
  - namignizer
    - model.py
    - README.md
    - names.py
    - data_utils.py
    - .gitignore
  - adversarial_text
    - adversarial_losses.py
    - train_utils.py
    - evaluate.py
    - pretrain.py
    - graphs_test.py
    - gen_data.py
    - inputs.py
    - gen_vocab.py
    - layers.py
    - data
      - data_utils_test.py
      - document_generators.py
      - __init__.py
      - data_utils.py
    - __init__.py
    - README.md
    - train_classifier.py
    - graphs.py
  - ptn
    - BUILD
    - model_ptn.py
    - pretrain_rotator.py
    - metrics.py
    - losses.py
    - model_rotator.py
    - nets
      - BUILD
      - deeprotator_factory.py
      - ptn_encoder.py
      - ptn_vox_decoder.py
      - ptn_rotator.py
      - im2vox_factory.py
      - ptn_im_decoder.py
      - perspective_transform.py
      - perspective_projector.py
    - eval_ptn.py
    - model_voxel_generation.py
    - README.md
    - utils.py
    - train_ptn.py
    - WORKSPACE
    - eval_rotator.py
    - .gitignore
    - input_generator.py
  - rebar
    - config.py
    - rebar.py
    - datasets.py
    - logger.py
    - rebar_train.py
    - README.md
    - utils.py
    - download_data.py
  - setup.py
  - next_frame_prediction
    - g3doc
    - README.md
    - cross_conv
      - BUILD
      - sprites_gen.py
      - eval.py
      - example_gen.py
      - reader.py
      - model.py
      - train.py
  - lm_commonsense
    - eval.py
    - README.md
    - utils.py
  - pcl_rl
    - policy.py
    - trust_region.py
    - replay_buffer.py
    - optimizers.py
    - gym_wrapper.py
    - baseline.py
    - model.py
    - full_episode_objective.py
    - controller.py
    - README.md
    - expert_paths.py
    - trainer.py
    - objective.py
    - env_spec.py
  - vid2depth
    - BUILD
    - util.py
    - nets.py
    - third_party
      - BUILD
      - eigen.BUILD
      - flann.BUILD
      - pcl.BUILD
      - hdf5.BUILD
    - dataset
      - gen_data.py
      - __init__.py
      - kitti
        test_scenes_stereo.txt
        test_scenes_eigen.txt
        test_files_stereo.txt
        test_files_eigen.txt
      - dataset_loader.py
    - project.py
    - reader.py
    - model.py
    - .bazelrc
    - train.py
    - README.md
    - inference.py
    - ops
      - BUILD
      - icp_grad_test.py
      - icp_train_demo.py
      - testdata
        pointcloud.npy
      - icp_grad.py
      - icp_util.py
      - __init__.py
      - pcl_demo.cc
      - icp_op_kernel.cc
      - icp_op.py
      - icp_test.py
    - WORKSPACE
    - repo.bzl
  - a3c_blogpost
    - README.md
    - a3c_cartpole.py
  - cvt_text
    - training
      - training_progress.py
      - __init__.py
      - trainer.py
    - fetch_data.sh
    - base
      - configure.py
      - embeddings.py
      - __init__.py
      - utils.py
    - preprocessing.py
    - cvt.py
    - __init__.py
    - README.md
    - model
      - shared_inputs.py
      - encoder.py
      - multitask_model.py
      - __init__.py
      - task_module.py
      - model_helpers.py
    - corpus_processing
      - scorer.py
      - minibatching.py
      - example.py
      - unlabeled_data.py
      - __init__.py
    - task_specific
      - word_level
        depparse_scorer.py
        word_level_data.py
        tagging_module.py
        tagging_scorers.py
        tagging_utils.py
        __init__.py
        word_level_scorer.py
        depparse_module.py
      - task_definitions.py
      - __init__.py
  - compression
    - entropy_coder
      - dataset
        gen_synthetic_single.py
        synthetic_model.py
        gen_synthetic_dataset.py
      - lib
        blocks_operator.py
        blocks_operator_test.py
        blocks_std_test.py
        blocks_std.py
        blocks_masked_conv2d.py
        blocks_lstm.py
        blocks_masked_conv2d_lstm.py
        blocks.py
        blocks_masked_conv2d_test.py
        block_base.py
        block_util.py
        __init__.py
        blocks_binarizer.py
        blocks_entropy_coding.py
        blocks_lstm_test.py
        blocks_entropy_coding_test.py
      - configs
        synthetic
        model_config.json
        input_config.json
        train_config.json
        gru_prime3
        model_config.json
      - __init__.py
      - README.md
      - all_models
        all_models.py
        __init__.py
        all_models_test.py
      - progressive
        progressive.py
        __init__.py
      - core
        entropy_coder_train.py
        config_helper.py
        entropy_coder_single.py
        code_loader.py
      - model
        model_factory.py
        entropy_coder_model.py
        __init__.py
    - README.md
    - image_encoder
      - decoder.py
      - encoder.py
      - README.md
      - msssim.py
  - inception
    - g3doc
    - inception
      - imagenet_train.py
      - inception_eval.py
      - BUILD
      - imagenet_eval.py
      - slim
        BUILD
        variables_test.py
        scopes_test.py
        ops.py
        variables.py
        inception_model.py
        losses.py
        inception_test.py
        collections_test.py
        slim.py
        README.md
        ops_test.py
        losses_test.py
        scopes.py
      - imagenet_distributed_train.py
      - inception_model.py
      - flowers_data.py
      - image_processing.py
      - inception_train.py
      - imagenet_data.py
      - data
        download_and_preprocess_imagenet.sh
        preprocess_imagenet_validation_data.py
        download_and_preprocess_flowers.sh
        download_and_preprocess_flowers_mac.sh
        download_imagenet.sh
        imagenet_lsvrc_2015_synsets.txt
        build_imagenet_data.py
        process_bounding_boxes.py
        build_image_data.py
      - flowers_eval.py
      - dataset.py
      - flowers_train.py
      - inception_distributed_train.py
    - README.md
    - WORKSPACE
    - .gitignore
  - delf
    - EXTRACTION_MATCHING.md
    - INSTALL_INSTRUCTIONS.md
    - setup.py
    - delf
      - protos
        box.proto
        datum.proto
        delf_config.proto
        __init__.py
        feature.proto
        aggregation_config.proto
      - python
        training
        build_image_dataset.py
        install_delf.sh
        datasets
        googlelandmarks.py
        __init__.py
        download_dataset.sh
        train.py
        __init__.py
        README.md
        model
        export_model_utils.py
        delf_model_test.py
        delf_model.py
        resnet50.py
        __init__.py
        export_global_model.py
        export_model.py
        feature_aggregation_similarity_test.py
        box_io.py
        examples
        delf_config_example.pbtxt
        extractor.py
        detector.py
        match_images.py
        extractor_test.py
        __init__.py
        extract_boxes.py
        extract_features.py
        feature_aggregation_extractor.py
        google_landmarks_dataset
        dataset_file_io.py
        compute_retrieval_metrics.py
        metrics_test.py
        metrics.py
        rn101_af_gldv2clean_config.pbtxt
        compute_recognition_metrics.py
        README.md
        dataset_file_io_test.py
        feature_io_test.py
        delg
        perform_retrieval.py
        measure_latency.py
        DELG_INSTRUCTIONS.md
        extract_features.py
        delg_gld_config.pbtxt
        box_io_test.py
        feature_extractor.py
        datum_io_test.py
        __init__.py
        feature_aggregation_similarity.py
        utils.py
        datum_io.py
        feature_aggregation_extractor_test.py
        feature_extractor_test.py
        detect_to_retrieve
        image_reranking.py
        extract_query_features.py
        aggregation_extraction.py
        delf_gld_config.pbtxt
        perform_retrieval.py
        boxes_and_features_extraction.py
        cluster_delf_features.py
        extract_index_boxes_and_features.py
        extract_aggregation.py
        __init__.py
        query_aggregation_config.pbtxt
        dataset.py
        dataset_test.py
        DETECT_TO_RETRIEVE_INSTRUCTIONS.md
        index_aggregation_config.pbtxt
        feature_io.py
      - __init__.py
    - README.md
    - DETECTION.md
    - .gitignore
  - README.md
  - object_detection
    - matchers
      - bipartite_matcher_tf1_test.py
      - argmax_matcher.py
      - __init__.py
      - argmax_matcher_test.py
      - bipartite_matcher.py
    - tpu_exporters
      - export_saved_model_tpu.py
      - testdata
        faster_rcnn
        faster_rcnn_resnet101_atrous_coco.config
        __init__.py
        ssd
        ssd_pipeline.config
      - utils_test.py
      - export_saved_model_tpu_lib.py
      - faster_rcnn.py
      - __init__.py
      - utils.py
      - export_saved_model_tpu_lib_tf1_test.py
      - ssd.py
    - exporter_tf1_test.py
    - export_tflite_ssd_graph_lib.py
    - exporter_lib_tf2_test.py
    - samples
      - cloud
        cloud.yml
      - configs
        ssdlite_mobilenet_v1_coco.config
        faster_rcnn_resnet101_voc07.config
        ssd_mobilenet_v1_300x300_coco14_sync.config
        faster_rcnn_inception_resnet_v2_atrous_oid.config
        faster_rcnn_resnet101_pets.config
        ssd_mobilenet_v1_0.75_depth_300x300_coco14_sync.config
        faster_rcnn_nas_coco.config
        ssd_mobilenet_v2_oid_v4.config
        ssd_mobilenet_v2_coco.config
        ssdlite_mobiledet_dsp_320x320_coco_sync_4x4.config
        faster_rcnn_resnet101_kitti.config
        ssd_mobilenet_v1_coco.config
        ssd_mobilenet_v1_focal_loss_pets.config
        faster_rcnn_resnet50_pets.config
        ssdlite_mobilenet_v3_small_320x320_coco.config
        facessd_mobilenet_v2_quantized_320x320_open_image_v4.config
        ssd_mobilenet_v1_focal_loss_pets_inference.config
        faster_rcnn_resnet101_ava_v2.1.config
        faster_rcnn_resnet101_fgvc.config
        context_rcnn_resnet101_snapshot_serengeti.config
        ssdlite_mobilenet_edgetpu_320x320_coco_quant.config
        ssd_inception_v2_pets.config
        faster_rcnn_resnet152_coco.config
        ssdlite_mobiledet_gpu_320x320_coco_sync_4x4.config
        ssdlite_mobiledet_cpu_320x320_coco_sync_4x4.config
        mask_rcnn_resnet101_atrous_coco.config
        ssd_resnet101_v1_fpn_shared_box_predictor_oid_512x512_sync.config
        mask_rcnn_resnet101_pets.config
        ssd_inception_v2_coco.config
        mask_rcnn_inception_resnet_v2_atrous_coco.config
        ssd_mobilenet_v2_mnasfpn_shared_box_predictor_320x320_coco_sync.config
        faster_rcnn_resnet50_fgvc.config
        faster_rcnn_inception_resnet_v2_atrous_cosine_lr_coco.config
        faster_rcnn_resnet101_atrous_coco.config
        faster_rcnn_inception_v2_coco.config
        faster_rcnn_inception_resnet_v2_atrous_oid_v4.config
        mask_rcnn_inception_v2_coco.config
        ssd_resnet50_v1_fpn_shared_box_predictor_640x640_coco14_sync.config
        ssd_mobilenet_v2_fpnlite_quantized_shared_box_predictor_256x256_depthmultiplier_75_coco14_sync.config
        ssd_mobilenet_v1_fpn_shared_box_predictor_640x640_coco14_sync.config
        rfcn_resnet101_pets.config
        ssd_inception_v3_pets.config
        ssdlite_mobilenet_edgetpu_320x320_coco.config
        ssd_mobilenet_v1_0.75_depth_quantized_300x300_coco14_sync.config
        faster_rcnn_inception_v2_pets.config
        faster_rcnn_resnet152_pets.config
        faster_rcnn_inception_resnet_v2_atrous_coco.config
        ssdlite_mobiledet_edgetpu_320x320_coco_sync_4x4.config
        embedded_ssd_mobilenet_v1_coco.config
        ssd_mobilenet_v2_fullyconv_coco.config
        ssd_mobilenet_v1_quantized_300x300_coco14_sync.config
        ssd_mobilenet_v2_pets_keras.config
        ssd_mobilenet_v1_pets.config
        faster_rcnn_inception_resnet_v2_atrous_pets.config
        faster_rcnn_resnet101_coco.config
        mask_rcnn_resnet50_atrous_coco.config
        ssdlite_mobilenet_v3_large_320x320_coco.config
        context_rcnn_resnet101_snapshot_serengeti_sync.config
        faster_rcnn_resnet50_coco.config
        rfcn_resnet101_coco.config
        ssdlite_mobilenet_v2_coco.config
        ssd_mobilenet_v1_0.75_depth_quantized_300x300_pets_sync.config
        ssd_mobilenet_v2_quantized_300x300_coco.config
        ssd_mobilenet_v1_ppn_shared_box_predictor_300x300_coco14_sync.config
    - utils
      - json_utils_test.py
      - np_mask_ops.py
      - per_image_vrd_evaluation.py
      - bifpn_utils.py
      - autoaugment_utils.py
      - np_box_mask_list_ops.py
      - model_util_tf2_test.py
      - spatial_transform_ops_test.py
      - label_map_util_test.py
      - test_utils.py
      - vrd_evaluation.py
      - np_mask_ops_test.py
      - np_box_list_test.py
      - model_util.py
      - per_image_vrd_evaluation_test.py
      - ops.py
      - metrics_test.py
      - config_util_test.py
      - np_box_mask_list_test.py
      - config_util.py
      - metrics.py
      - category_util.py
      - visualization_utils.py
      - shape_utils.py
      - label_map_util.py
      - dataset_util.py
      - tf_version.py
      - patch_ops.py
      - test_case_test.py
      - variables_helper.py
      - target_assigner_utils.py
      - test_utils_test.py
      - np_box_list_ops.py
      - patch_ops_test.py
      - category_util_test.py
      - learning_schedules.py
      - np_box_mask_list.py
      - static_shape.py
      - spatial_transform_ops.py
      - np_box_ops.py
      - dataset_util_test.py
      - vrd_evaluation_test.py
      - test_case.py
      - visualization_utils_test.py
      - learning_schedules_test.py
      - __init__.py
      - static_shape_test.py
      - shape_utils_test.py
      - ops_test.py
      - per_image_evaluation.py
      - context_manager.py
      - np_box_list_ops_test.py
      - variables_helper_tf1_test.py
      - np_box_ops_test.py
      - np_box_list.py
      - np_box_mask_list_ops_test.py
      - context_manager_test.py
      - object_detection_evaluation_test.py
      - target_assigner_utils_test.py
      - json_utils.py
      - per_image_evaluation_test.py
      - object_detection_evaluation.py
    - test_images
      - image_info.txt
      - snapshot_serengeti
        README.md
        context_rcnn_demo_metadata.json
    - model_tpu_main.py
    - model_main_tf2.py
    - g3doc
      - running_on_cloud.md
      - instance_segmentation.md
      - running_pets.md
      - configuring_jobs.md
      - challenge_evaluation.md
      - faq.md
      - img
      - tpu_exporters.md
      - defining_your_own_model.md
      - running_locally.md
      - running_notebook.md
      - tpu_compatibility.md
      - context_rcnn.md
      - installation.md
      - running_on_mobile_tensorflowlite.md
      - using_your_own_dataset.md
      - detection_model_zoo.md
      - preparing_inputs.md
      - oid_inference_and_evaluation.md
      - evaluation_protocols.md
      - exporting_models.md
    - export_tflite_ssd_graph_lib_tf1_test.py
    - model_lib_v2.py
    - exporter_main_v2.py
    - builders
      - anchor_generator_builder.py
      - graph_rewriter_builder.py
      - image_resizer_builder_test.py
      - anchor_generator_builder_test.py
      - post_processing_builder_test.py
      - optimizer_builder_tf1_test.py
      - region_similarity_calculator_builder_test.py
      - preprocessor_builder_test.py
      - model_builder_tf1_test.py
      - box_coder_builder.py
      - optimizer_builder.py
      - decoder_builder_test.py
      - losses_builder_test.py
      - hyperparams_builder.py
      - matcher_builder.py
      - image_resizer_builder.py
      - post_processing_builder.py
      - optimizer_builder_tf2_test.py
      - box_predictor_builder.py
      - box_predictor_builder_test.py
      - target_assigner_builder_test.py
      - hyperparams_builder_test.py
      - model_builder_test.py
      - decoder_builder.py
      - losses_builder.py
      - __init__.py
      - input_reader_builder.py
      - calibration_builder_test.py
      - model_builder_tf2_test.py
      - target_assigner_builder.py
      - calibration_builder.py
      - dataset_builder.py
      - dataset_builder_test.py
      - preprocessor_builder.py
      - matcher_builder_test.py
      - box_coder_builder_test.py
      - region_similarity_calculator_builder.py
      - model_builder.py
      - input_reader_builder_tf1_test.py
      - graph_rewriter_builder_tf1_test.py
    - model_lib_tf1_test.py
    - inputs_test.py
    - model_lib_tf2_test.py
    - protos
      - bipartite_matcher.proto
      - calibration.proto
      - faster_rcnn_box_coder.proto
      - train.proto
      - model.proto
      - faster_rcnn.proto
      - eval.proto
      - string_int_label_map.proto
      - keypoint_box_coder.proto
      - preprocessor.proto
      - hyperparams.proto
      - region_similarity_calculator.proto
      - image_resizer.proto
      - ssd_anchor_generator.proto
      - graph_rewriter.proto
      - target_assigner.proto
      - input_reader.proto
      - pipeline.proto
      - center_net.proto
      - square_box_coder.proto
      - optimizer.proto
      - argmax_matcher.proto
      - losses.proto
      - box_predictor.proto
      - __init__.py
      - matcher.proto
      - post_processing.proto
      - ssd.proto
      - multiscale_anchor_generator.proto
      - box_coder.proto
      - grid_anchor_generator.proto
      - anchor_generator.proto
      - flexible_grid_anchor_generator.proto
      - mean_stddev_box_coder.proto
    - models
      - ssd_mobilenet_v2_fpn_feature_extractor_tf1_test.py
      - faster_rcnn_inception_v2_feature_extractor.py
      - faster_rcnn_resnet_keras_feature_extractor.py
      - feature_map_generators.py
      - ssd_mobilenet_v2_mnasfpn_feature_extractor.py
      - ssd_inception_v3_feature_extractor.py
      - ssd_mobiledet_feature_extractor_tf1_test.py
      - faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
      - ssd_resnet_v1_fpn_feature_extractor_tf2_test.py
      - ssd_mobilenet_v1_fpn_feature_extractor.py
      - ssd_mobilenet_v2_mnasfpn_feature_extractor_tf1_test.py
      - ssd_mobilenet_v1_fpn_feature_extractor_tf2_test.py
      - center_net_hourglass_feature_extractor.py
      - ssd_feature_extractor_test.py
      - bidirectional_feature_pyramid_generators.py
      - ssd_mobiledet_feature_extractor.py
      - keras_models
        test_utils.py
        resnet_v1_tf2_test.py
        mobilenet_v1_tf2_test.py
        base_models
        original_mobilenet_v2.py
        inception_resnet_v2_tf2_test.py
        mobilenet_v1.py
        resnet_v1.py
        mobilenet_v2.py
        hourglass_network_tf2_test.py
        inception_resnet_v2.py
        convert_keras_models.py
        __init__.py
        hourglass_network.py
        model_utils.py
        mobilenet_v2_tf2_test.py
      - center_net_resnet_v1_fpn_feature_extractor_tf2_test.py
      - ssd_mobilenet_v1_feature_extractor_tf1_test.py
      - faster_rcnn_resnet_v1_feature_extractor_tf1_test.py
      - ssd_mobilenet_v2_feature_extractor.py
      - ssd_mobilenet_v3_feature_extractor.py
      - faster_rcnn_mobilenet_v1_feature_extractor_tf1_test.py
      - ssd_mobilenet_v2_feature_extractor_tf2_test.py
      - ssd_mobilenet_v1_keras_feature_extractor.py
      - ssd_mobilenet_v3_feature_extractor_testbase.py
      - faster_rcnn_inception_resnet_v2_keras_feature_extractor.py
      - ssd_mobilenet_v1_ppn_feature_extractor.py
      - ssd_mobilenet_v2_fpn_keras_feature_extractor.py
      - ssd_pnasnet_feature_extractor_tf1_test.py
      - ssd_mobilenet_v1_fpn_keras_feature_extractor.py
      - ssd_inception_v2_feature_extractor_tf1_test.py
      - faster_rcnn_pnas_feature_extractor.py
      - bidirectional_feature_pyramid_generators_tf2_test.py
      - ssd_resnet_v1_fpn_keras_feature_extractor.py
      - ssd_inception_v3_feature_extractor_tf1_test.py
      - ssd_mobilenet_edgetpu_feature_extractor.py
      - center_net_hourglass_feature_extractor_tf2_test.py
      - center_net_resnet_v1_fpn_feature_extractor.py
      - ssd_mobilenet_v2_feature_extractor_tf1_test.py
      - faster_rcnn_inception_resnet_v2_keras_feature_extractor_tf2_test.py
      - ssd_resnet_v1_fpn_feature_extractor_tf1_test.py
      - faster_rcnn_resnet_keras_feature_extractor_tf2_test.py
      - ssd_mobilenet_v2_fpn_feature_extractor.py
      - ssd_inception_v2_feature_extractor.py
      - center_net_resnet_feature_extractor.py
      - faster_rcnn_resnet_v1_feature_extractor.py
      - ssd_mobilenet_v1_fpn_feature_extractor_tf1_test.py
      - ssd_resnet_v1_ppn_feature_extractor_testbase.py
      - feature_map_generators_test.py
      - ssd_resnet_v1_fpn_feature_extractor.py
      - __init__.py
      - ssd_resnet_v1_ppn_feature_extractor.py
      - faster_rcnn_mobilenet_v1_feature_extractor.py
      - ssd_resnet_v1_ppn_feature_extractor_tf1_test.py
      - ssd_mobilenet_v2_keras_feature_extractor.py
      - ssd_mobilenet_v3_feature_extractor_tf1_test.py
      - faster_rcnn_nas_feature_extractor_tf1_test.py
      - faster_rcnn_nas_feature_extractor.py
      - ssd_mobilenet_v1_feature_extractor_tf2_test.py
      - faster_rcnn_pnas_feature_extractor_tf1_test.py
      - faster_rcnn_inception_resnet_v2_feature_extractor_tf1_test.py
      - center_net_resnet_feature_extractor_tf2_test.py
      - embedded_ssd_mobilenet_v1_feature_extractor_tf1_test.py
      - faster_rcnn_inception_v2_feature_extractor_tf1_test.py
      - ssd_mobilenet_edgetpu_feature_extractor_testbase.py
      - ssd_mobilenet_edgetpu_feature_extractor_tf1_test.py
      - embedded_ssd_mobilenet_v1_feature_extractor.py
      - ssd_mobilenet_v2_fpn_feature_extractor_tf2_test.py
      - faster_rcnn_resnet_v1_fpn_keras_feature_extractor_tf2_test.py
      - ssd_pnasnet_feature_extractor.py
      - ssd_mobilenet_v1_feature_extractor.py
      - faster_rcnn_inception_resnet_v2_feature_extractor.py
      - ssd_mobilenet_v1_ppn_feature_extractor_tf1_test.py
      - ssd_resnet_v1_fpn_feature_extractor_testbase.py
    - dockerfiles
      - android
        README.md
        Dockerfile
      - tf2
        README.md
        Dockerfile
      - tf1
        README.md
        Dockerfile
    - export_tflite_ssd_graph.py
    - inputs.py
    - CONTRIBUTING.md
    - dataset_tools
      - create_pascal_tf_record_test.py
      - create_coco_tf_record_test.py
      - context_rcnn
        generate_embedding_data_tf1_test.py
        add_context_to_examples.py
        generate_embedding_data.py
        create_cococameratraps_tfexample_main.py
        create_cococameratraps_tfexample_tf1_test.py
        generate_detection_data.py
        generate_detection_data_tf1_test.py
        __init__.py
        add_context_to_examples_tf1_test.py
      - create_kitti_tf_record.py
      - download_and_preprocess_mscoco.sh
      - create_coco_tf_record.py
      - oid_tfrecord_creation_test.py
      - create_pet_tf_record.py
      - seq_example_util.py
      - tf_record_creation_util.py
      - seq_example_util_test.py
      - create_oid_tf_record.py
      - create_kitti_tf_record_test.py
      - densepose
      - __init__.py
      - create_pycocotools_package.sh
      - oid_hierarchical_labels_expansion_test.py
      - tf_record_creation_util_test.py
      - create_pascal_tf_record.py
      - oid_hierarchical_labels_expansion.py
      - oid_tfrecord_creation.py
    - anchor_generators
      - multiple_grid_anchor_generator.py
      - multiscale_grid_anchor_generator_test.py
      - flexible_grid_anchor_generator_test.py
      - multiple_grid_anchor_generator_test.py
      - __init__.py
      - flexible_grid_anchor_generator.py
      - grid_anchor_generator_test.py
      - multiscale_grid_anchor_generator.py
      - grid_anchor_generator.py
    - exporter.py
    - test_data
      - context_rcnn_camera_trap.config
      - ssd_mobilenet_v1_fpp.config
    - export_inference_graph.py
    - model_lib.py
    - exporter_lib_v2.py
    - predictors
      - convolutional_keras_box_predictor_tf2_test.py
      - rfcn_keras_box_predictor_tf2_test.py
      - convolutional_box_predictor.py
      - convolutional_keras_box_predictor.py
      - mask_rcnn_keras_box_predictor.py
      - rfcn_box_predictor.py
      - mask_rcnn_keras_box_predictor_tf2_test.py
      - mask_rcnn_box_predictor_tf1_test.py
      - convolutional_box_predictor_tf1_test.py
      - heads
        box_head_tf1_test.py
        keras_class_head_tf2_test.py
        head.py
        keras_mask_head_tf2_test.py
        keras_class_head.py
        keypoint_head_tf1_test.py
        keypoint_head.py
        class_head_tf1_test.py
        mask_head_tf1_test.py
        keras_box_head_tf2_test.py
        keras_mask_head.py
        box_head.py
        mask_head.py
        __init__.py
        class_head.py
        keras_box_head.py
      - __init__.py
      - rfcn_keras_box_predictor.py
      - rfcn_box_predictor_tf1_test.py
      - mask_rcnn_box_predictor.py
    - data
      - pascal_label_map.pbtxt
      - kitti_label_map.pbtxt
      - oid_bbox_trainable_label_map.pbtxt
      - ava_label_map_v2.1.pbtxt
      - mscoco_minival_ids.txt
      - face_person_with_keypoints_label_map.pbtxt
      - face_label_map.pbtxt
      - pet_label_map.pbtxt
      - oid_object_detection_challenge_500_label_map.pbtxt
      - snapshot_serengeti_label_map.pbtxt
      - oid_v4_label_map.pbtxt
      - mscoco_complete_label_map.pbtxt
      - mscoco_label_map.pbtxt
    - eval_util_test.py
    - meta_architectures
      - center_net_meta_arch_tf2_test.py
      - context_rcnn_lib.py
      - faster_rcnn_meta_arch.py
      - context_rcnn_meta_arch.py
      - faster_rcnn_meta_arch_test_lib.py
      - ssd_meta_arch.py
      - rfcn_meta_arch.py
      - faster_rcnn_meta_arch_test.py
      - context_rcnn_meta_arch_tf1_test.py
      - __init__.py
      - context_rcnn_lib_tf1_test.py
      - rfcn_meta_arch_test.py
      - ssd_meta_arch_test_lib.py
      - ssd_meta_arch_test.py
      - center_net_meta_arch.py
    - __init__.py
    - eval_util.py
    - README.md
    - legacy
      - evaluator.py
      - eval.py
      - trainer_tf1_test.py
      - train.py
      - __init__.py
      - trainer.py
    - colab_tutorials
      - object_detection_tutorial.ipynb
    - core
      - freezable_batch_norm_tf2_test.py
      - balanced_positive_negative_sampler.py
      - preprocessor_cache.py
      - densepose_ops.py
      - prefetcher.py
      - region_similarity_calculator.py
      - batcher.py
      - box_list_test.py
      - multiclass_nms_test.py
      - model_test.py
      - matcher_test.py
      - minibatch_sampler_test.py
      - batch_multiclass_nms_test.py
      - target_assigner.py
      - preprocessor.py
      - minibatch_sampler.py
      - data_decoder.py
      - keypoint_ops.py
      - keypoint_ops_test.py
      - losses.py
      - box_predictor.py
      - post_processing.py
      - box_list_ops.py
      - box_list.py
      - prefetcher_tf1_test.py
      - balanced_positive_negative_sampler_test.py
      - box_list_ops_test.py
      - class_agnostic_nms_test.py
      - model.py
      - matcher.py
      - standard_fields.py
      - region_similarity_calculator_test.py
      - box_coder.py
      - __init__.py
      - box_coder_test.py
      - freezable_batch_norm.py
      - preprocessor_test.py
      - target_assigner_test.py
      - batcher_tf1_test.py
      - data_parser.py
      - anchor_generator.py
      - losses_test.py
      - densepose_ops_test.py
    - inference
      - infer_detections.py
      - detection_inference.py
      - __init__.py
      - detection_inference_tf1_test.py
    - metrics
      - calibration_metrics_tf1_test.py
      - calibration_metrics.py
      - offline_eval_map_corloc_test.py
      - oid_challenge_evaluation.py
      - io_utils.py
      - oid_challenge_evaluation_utils_test.py
      - oid_vrd_challenge_evaluation_utils.py
      - oid_challenge_evaluation_utils.py
      - calibration_evaluation.py
      - calibration_evaluation_tf1_test.py
      - offline_eval_map_corloc.py
      - oid_vrd_challenge_evaluation_utils_test.py
      - __init__.py
      - tf_example_parser.py
      - coco_tools_test.py
      - oid_vrd_challenge_evaluation.py
      - tf_example_parser_test.py
      - coco_evaluation_test.py
      - coco_tools.py
      - coco_evaluation.py
    - box_coders
      - keypoint_box_coder.py
      - square_box_coder_test.py
      - faster_rcnn_box_coder_test.py
      - mean_stddev_box_coder.py
      - mean_stddev_box_coder_test.py
      - keypoint_box_coder_test.py
      - faster_rcnn_box_coder.py
      - __init__.py
      - square_box_coder.py
    - data_decoders
      - tf_sequence_example_decoder_test.py
      - tf_example_decoder_test.py
      - tf_sequence_example_decoder.py
      - __init__.py
      - tf_example_decoder.py
    - model_main.py
    - model_hparams.py
  - real_nvp
    - imnet_formatting.py
    - lsun_formatting.py
    - __init__.py
    - celeba_formatting.py
    - README.md
    - real_nvp_utils.py
    - real_nvp_multiscale_dataset.py
  - im2txt
    - conda-env
      - ubuntu-18-04-environment.yaml
    - g3doc
    - README.md
    - im2txt
      - BUILD
      - evaluate.py
      - show_and_tell_model.py
      - data
        download_and_preprocess_mscoco.sh
        build_mscoco_data.py
      - show_and_tell_model_test.py
      - train.py
      - configuration.py
      - ops
        BUILD
        inputs.py
        image_processing.py
        image_embedding_test.py
        image_embedding.py
      - run_inference.py
      - inference_wrapper.py
      - inference_utils
        BUILD
        caption_generator_test.py
        caption_generator.py
        vocabulary.py
        inference_wrapper_base.py
    - WORKSPACE
    - .gitignore
  - struct2depth
    - BUILD
    - util.py
    - nets.py
    - alignment.py
    - project.py
    - reader.py
    - model.py
    - train.py
    - README.md
    - inference.py
    - optimize.py
    - gen_data_city.py
    - gen_data_kitti.py
  - brain_coder
    - single_task
      - BUILD
      - launch_training.sh
      - data.py
      - pg_agent.py
      - misc.py
      - run.py
      - ga_lib.py
      - tune.py
      - pg_train_test.py
      - pg_train.py
      - test_tasks.py
      - code_tasks.py
      - aggregate_tuning_results.py
      - ga_train_test.py
      - test_tasks_test.py
      - launch_tuning.sh
      - results_lib_test.py
      - pg_agent_test.py
      - README.md
      - code_tasks_test.py
      - results_lib.py
      - defaults.py
      - run_eval_tasks.py
      - aggregate_experiment_results.py
      - ga_train.py
    - common
      - BUILD
      - reward.py
      - bf.py
      - rollout.py
      - schedules_test.py
      - bf_test.py
      - schedules.py
      - utils_test.py
      - rollout_test.py
      - utils.py
      - config_lib.py
      - reward_test.py
      - config_lib_test.py
    - README.md
    - WORKSPACE
  - nst_blogpost
    - 4_Neural_Style_Transfer_with_Eager_Execution.ipynb
  - deep_speech
    - decoder.py
    - deep_speech.py
    - data
      - download.py
      - featurizer.py
      - vocabulary.txt
      - __init__.py
      - dataset.py
    - __init__.py
    - README.md
    - requirements.txt
    - run_deep_speech.sh
    - deep_speech_model.py
  - cognitive_planning
    - BUILD
    - label_map.txt
    - embedders.py
    - visualization_utils.py
    - label_map_util.py
    - tasks.py
    - string_int_label_map_pb2.py
    - policies.py
    - standard_fields.py
    - train_supervised_active_vision.py
    - __init__.py
    - README.md
    - preprocessing
      - vgg_preprocessing.py
      - cifarnet_preprocessing.py
      - inception_preprocessing.py
      - lenet_preprocessing.py
      - __init__.py
      - preprocessing_factory.py
    - train_supervised_active_vision.sh
    - command
    - viz_active_vision_dataset_main.py
    - envs
      - util.py
      - active_vision_dataset_env.py
      - task_env.py
      - configs
        active_vision_config.gin
      - __init__.py
  - lexnet_nc
    - learn_classifier.py
    - learn_path_embeddings.py
    - text_embeddings_to_binary.py
    - extract_paths.py
    - sorted_paths_to_examples.py
    - path_model.py
    - README.md
    - lexnet_model.py
    - get_indicative_paths.py
    - lexnet_common.py
  - neural_programmer
    - wiki_data.py
    - neural_programmer.py
    - parameters.py
    - nn_utils.py
    - model.py
    - README.md
    - data_utils.py
  - autoaugment
    - train_cifar.py
    - helper_utils.py
    - custom_ops.py
    - policies.py
    - README.md
    - shake_drop.py
    - shake_shake.py
    - augmentation_transforms.py
    - wrn.py
    - data_utils.py
  - steve
    - worldmodel.py
    - replay.py
    - nn.py
    - util.py
    - visualizer.py
    - master.py
    - worldmodel_learner.py
    - config.py
    - envwrap.py
    - config
      - algos
        steve.json
        mve_tdk.json
        mve_mean.json
        mve_tdlambda.json
        steve_cov.json
        ddpg.json
      - experiments
        goodruns
        swimmer
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        walker2d
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        hopper
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        flagrun
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        rshum
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        humanoid
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        halfcheetah
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        hardcore
        ddpg1.json
        ddpg3.json
        mve_tdk2.json
        mve_tdk3.json
        ddpg2.json
        mve_tdk0.json
        steve0.json
        steve3.json
        ddpg0.json
        steve1.json
        mve_tdk1.json
        steve2.json
        ablations
        horizons
        steve_1h2.json
        steve_2h1.json
        steve_1h0.json
        steve_1h1.json
        steve_5h0.json
        steve_5h1.json
        steve_5h2.json
        steve_2h2.json
        steve_2h0.json
        baselines
        ensemble_mve_tdk2.json
        mve_25tdlambda0.json
        mve_75tdlambda1.json
        ensemble_mve_tdk1.json
        ensemble_mve_tdk0.json
        mve_meank2.json
        steve_cov0.json
        steve_cov2.json
        mve_75tdlambda2.json
        mve_25tdlambda2.json
        mve_25tdlambda1.json
        mve_75tdlambda0.json
        mve_meank0.json
        steve_cov1.json
        mve_meank1.json
        speedruns
        flagrun
        speedy_ddpg0.json
        speedy_steve0.json
        speedy_steve1.json
        speedy_mve_tdk1.json
        speedy_mve_tdk0.json
        speedy_ddpg1.json
        humanoid
        speedy_ddpg0.json
        speedy_steve0.json
        speedy_steve1.json
        speedy_mve_tdk1.json
        speedy_mve_tdk0.json
        speedy_ddpg1.json
      - experimental_setups
        speedrun.json
      - core
        basic.json
        bayesian.json
        model.json
      - envs
        rshum.json
        hopper.json
        humanoid.json
        halfcheetah.json
        hardcore.json
        swimmer.json
        walker2d.json
        flagrun.json
    - valuerl.py
    - agent.py
    - README.md
    - toy_demo.py
    - learner.py
    - valuerl_learner.py
  - adversarial_crypto
    - train_eval.py
    - README.md
  - deeplab
    - local_test.sh
    - datasets
      - convert_cityscapes.sh
      - data_generator_test.py
      - build_voc2012_data.py
      - build_ade20k_data.py
      - data_generator.py
      - download_and_convert_ade20k.sh
      - remove_gt_colormap.py
      - build_data.py
      - __init__.py
      - build_cityscapes_data.py
      - download_and_convert_voc2012.sh
    - utils
      - save_annotation.py
      - train_utils.py
      - get_dataset_colormap.py
      - get_dataset_colormap_test.py
      - __init__.py
    - input_preprocess.py
    - eval.py
    - deeplab_demo.ipynb
    - g3doc
      - pascal.md
      - faq.md
      - img
        image_info.txt
      - cityscapes.md
      - installation.md
      - model_zoo.md
      - ade20k.md
      - export_model.md
      - quantize.md
    - deprecated
      - segmentation_dataset.py
      - __init__.py
    - common_test.py
    - model_test.py
    - vis.py
    - evaluation
      - panoptic_quality.py
      - test_utils.py
      - streaming_metrics_test.py
      - g3doc
        img
      - testdata
        coco_gt.json
        coco_gt
        coco_pred
        coco_pred.json
        README.md
      - parsing_covering_test.py
      - base_metric.py
      - test_utils_test.py
      - __init__.py
      - README.md
      - eval_coco_format.py
      - eval_coco_format_test.py
      - streaming_metrics.py
      - parsing_covering.py
      - panoptic_quality_test.py
    - model.py
    - train.py
    - common.py
    - __init__.py
    - local_test_mobilenetv2.sh
    - README.md
    - core
      - dense_prediction_cell_branch5_top1_cityscapes.json
      - preprocess_utils.py
      - nas_genotypes.py
      - utils_test.py
      - xception.py
      - nas_network.py
      - nas_cell.py
      - feature_extractor.py
      - conv2d_ws.py
      - dense_prediction_cell.py
      - conv2d_ws_test.py
      - xception_test.py
      - __init__.py
      - utils.py
      - resnet_v1_beta.py
      - nas_network_test.py
      - preprocess_utils_test.py
      - dense_prediction_cell_test.py
      - resnet_v1_beta_test.py
    - testing
      - pascal_voc_seg
      - info.md
    - export_model.py
  - learning_to_remember_rare_events
    - model.py
    - memory.py
    - train.py
    - README.md
    - data_utils.py
  - deep_contextual_bandits
    - example_main.py
    - bandits
      - algorithms
        posterior_bnn_sampling.py
        linear_full_posterior_sampling.py
        bb_alpha_divergence_model.py
        parameter_noise_sampling.py
        neural_linear_sampling.py
        fixed_policy_sampling.py
        variational_neural_bandit_model.py
        bf_variational_neural_bandit_model.py
        uniform_sampling.py
        neural_bandit_model.py
        multitask_gp.py
        bootstrapped_bnn_sampling.py
      - data
        data_sampler.py
        synthetic_data_sampler.py
      - core
        bayesian_nn.py
        contextual_dataset.py
        bandit_algorithm.py
        contextual_bandit.py
    - README.md
  - tcn
    - BUILD
    - data_providers.py
    - utils
      - progress.py
      - util.py
      - luatables.py
    - generate_videos.py
    - eval.py
    - data_providers_test.py
    - g3doc
    - alignment.py
    - dataset
      - images_to_videos.py
      - webcam.py
      - videos_to_tfrecords.py
    - visualize_embeddings.py
    - estimators
      - svtcn_loss.py
      - svtcn_loss_test.py
      - get_estimator.py
      - mvtcn_estimator.py
      - svtcn_estimator.py
      - base_estimator.py
    - labeled_eval_test.py
    - labeled_eval.py
    - preprocessing.py
    - model.py
    - train.py
    - configs
      - tcn_default.yml
      - pouring.yml
      - test_estimator.yml
    - README.md
    - WORKSPACE
    - download_pretrained.py
- CODEOWNERS
- .gitignore

Directory	Description
official	• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs • Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow • Reasonably optimized for fast performance while still being easy to read
research	• A collection of research model implementations in TensorFlow 1 or 2 by researchers • Maintained and supported by researchers
community	• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2

Date	News
June 30, 2020	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020	Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020	Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020	MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020	DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020	Introducing the Model Garden for TensorFlow 2 (Tweet)

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