CSBDeep/CSBDeep

CSBDeep-master
- csbdeep
  - internals
    - nets.py
    - blocks.py
    - probability.py
    - losses.py
    - predict.py
    - train.py
    - __init__.py
  - utils
    - six.py
    - __init__.py
    - utils.py
    - tf.py
    - plot_utils.py
  - version.py
  - models
    - care_projection.py
    - config.py
    - care_isotropic.py
    - base_model.py
    - care_standard.py
    - __init__.py
    - care_upsampling.py
  - data
    - transform.py
    - rawdata.py
    - prepare.py
    - generate.py
    - __init__.py
  - io
    - __init__.py
  - __init__.py
  - scripts
    - care_predict.py
    - __init__.py
- examples
  - denoising2D
    - 3_prediction.ipynb
    - imgs
    - 1_datagen.ipynb
    - 2_training.ipynb
  - denoising3D
    - 3_prediction.ipynb
    - 1_datagen.ipynb
    - 2_training.ipynb
  - denoising2D_probabilistic
    - 2_prediction.ipynb
    - 1_training.ipynb
  - upsampling3D
    - 3_prediction.ipynb
    - 1_datagen.ipynb
    - 2_training.ipynb
  - isotropic_reconstruction
    - 3_prediction.ipynb
    - 1_datagen.ipynb
    - 2_training.ipynb
  - projection
    - 3_prediction.ipynb
    - 1_datagen.ipynb
    - 2_training.ipynb
  - README.md
  - scripts
    - prediction.ipynb
- extras
  - care_example_denoising_upsampling_2D_colab.ipynb
  - README.md
- .appveyor.yml
- setup.py
- setup.cfg
- .travis.yml
- README.md
- tests
  - test_datagen.py
  - test_utils.py
  - test_models.py
- tools
  - create_zip_contents.py
  - clear_notebooks.sh
  - ftp_connect.sh
- .gitignore
- docs
  - Makefile
  - source
    - install.rst
    - training.rst
    - datagen.rst
    - prediction.rst
    - index.rst
    - conf.py
    - models.rst
  - watch_and_build.sh
  - upload.sh
- LICENSE.txt

CSBDeep – a toolbox for CARE