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Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.
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README.md

README.md

awesome-ml-testing

Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.

This repo will be updated continuously, don't hesitate to add new Pull Request or Issues if you find anything is missing! Please use the format here.

Table of Contents):


Format

This Repo will use folloing format:

For tools:

  • Project Name: <URL_to_project>
    • A short description (please add the related paper if this tool is from academic paper)"

For paper:

  • Paper Name: <URL_to_project>
    • Author(s) Name(s)
    • A short description"

Tools

  • MuDNN: https://github.com/microsoft/MMdnn

    • MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
  • AIF360: https://github.com/IBM/AIF360, http://aif360.mybluemix.net/

    • A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Papers

  1. TODO

Talks

  1. TODO
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