Interpretability and explainability of data and machine learning models
Understand and explain how machine learning models make decisions using various tools and examples.
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AIX360 has 1.8k stars on GitHub. It has been forked 325 times. AIX360 is written mainly in Python. It has been in active development since 2019. AIX360 is available under the Apache-2.0 license. Its main topics are artificial-intelligence, codait, deep-learning, explainabil.
Interpretability and explainability of data and machine learning models
AIX360 is an open-source project. It is released under the Apache-2.0 license.
Yes. AIX360 is free and open source — you can use, modify and self-host it.
AIX360 is available under the Apache-2.0 license.
AIX360 is written mainly in Python.
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