microsoft / reliableAI

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reliableAI is an umbrella repo that maintains both XAI and causal discovery projects. We believe causal discovery is a key aspect for acquiring causal knowledge, and causal knowledge is a key aspect for providing explanations for both machine learning models and data analysis.

reliableAI is being continuously developed and enriched. Algorithms are placed in two folders:

  1. causal-kit: contains the algorithms for causal discovery, mostly about Supervised Causal Learning (SCL).

  2. XAI: contains the algorithms for XAI, mainly about GAM-based (Generalized Additive Model), interpretable machine learning algorithms.

  3. XDA: contains the algorithms for explainable data analysis, mainly about XInsight.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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License:MIT License


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