A game theoretic approach to explain the output of any machine learning model.

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

OmniXAI: A Library for eXplainable AI

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.

A Python framework for the quantitative evaluation of eXplainable AI methods