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.

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.

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