tech-quantum/sia-cog

sia-cog-master
- ml
  - pipeline.py
  - mxnetfactory.py
  - backgroundproc.py
  - kerasfactory.py
  - pipelinecomponents.py
  - __init__.py
  - scikitlearn.py
- stories
  - layers_initializers.json
  - layers_activation.json
  - pipeline.json
  - layers.json
  - layers_constraints.json
- langintent
  - intentanalyzer.py
  - __init__.py
- vis
  - Makefile
  - rcnn
    - utils
      - save_model.py
      - load_data.py
      - combine_model.py
      - __init__.py
      - load_model.py
    - processing
      - generate_anchor.py
      - bbox_regression.py
      - __init__.py
      - nms.py
      - bbox_transform.py
    - cython
      - gpu_nms.pyx
      - gpu_nms.hpp
      - cpu_nms.pyx
      - nms_kernel.cu
      - setup.py
      - __init__.py
      - .gitignore
      - bbox.pyx
    - config.py
    - dataset
      - coco.py
      - imdb.py
      - pascal_voc_eval.py
      - __init__.py
      - pascal_voc.py
      - ds_utils.py
    - pycocotools
      - coco.py
      - UPSTREAM_REV
      - maskApi.h
      - setup.py
      - mask.py
      - cocoeval.py
      - maskApi.c
      - __init__.py
      - _mask.pyx
    - logger.py
    - symbol
      - proposal_target.py
      - symbol_vgg.py
      - proposal.py
      - __init__.py
      - symbol_resnet.py
    - io
      - image.py
      - rpn.py
      - __init__.py
      - rcnn.py
    - __init__.py
    - tools
      - train_rpn.py
      - test_rcnn.py
      - test_rpn.py
      - __init__.py
      - reeval.py
      - train_rcnn.py
    - core
      - module.py
      - tester.py
      - metric.py
      - callback.py
      - __init__.py
      - loader.py
  - haarcascades
    - haarcascade_smile.xml
    - haarcascade_licence_plate_rus_16stages.xml
    - haarcascade_russian_plate_number.xml
    - haarcascade_lefteye_2splits.xml
    - haarcascade_righteye_2splits.xml
  - objcls.py
  - cvmgr.py
  - objdet.py
  - __init__.py
- mlapi.py
- LICENSE
- test
  - testpipeline.py
  - imgnettest.py
  - testlocaldb.py
  - testintent.py
  - testvision.py
  - __init__.py
  - testbot.py
  - layers_understand.py
- intentapi.py
- CONTRIBUTING.md
- runserver.py
- docker
  - base_cpu
    - Dockerfile
  - client
    - Dockerfile
  - cpu
    - Dockerfile
  - base_gpu
    - Dockerfile
  - gpu
    - Dockerfile
- data
  - prima
    - weights.hdf5
    - model.json
  - logs.db
  - __vision
    - objdet.json
    - objcls.json
  - __intent
    - utter
      - getstatus.intent
      - weatherintent.intent
    - container.json
    - intent_db.json
    - entity_db.json
  - housing
- install
  - installdep-cpu.sh
  - installdep-gpu.sh
- .travis.yml
- README.md
- CODE_OF_CONDUCT.md
- text
  - __init__.py
  - nltkmgr.py
- requirements.txt
- botapi.py
- .gitignore
- siacogapi.py
- Interface
  - sysinfo.py
  - modelcache.py
  - projectmodels.py
  - dataanalyzer.py
  - utility.py
  - constants.py
  - plotmgr.py
  - projectmgr.py
  - __init__.py
  - dumpmodel.py
  - logmgr.py
  - logmodels.py
  - dumpmgr.py
- visionapi.py
- bot
  - __init__.py
  - chatbot.py

Developing this project to provide an easy interface in form of web API to build or host your own machine learning models (general + deep learning) along with vision, language intent analysis and chatbots services without having deep knowledge of programming languages like Python or R.

Server and Web Client Setup: https://github.com/deepakkumar1984/sia-cog-setup

Major Components Involved

Python language (>2.7)
Scikit-learn
Keras
MxNet

API and Usage Documentation: http://cog.siadroid.com/