Lime: Explaining the predictions of any machine learning classifier

Mirror of GNU Emacs

This is a plugin for Obsidian that renders and plays musical notation in the formats MEI, abc and MusicXML.

Obsidian Notes for Emacs

An object-oriented algebraic modeling language in Python for structured optimization problems.

Shapley Interactions and Shapley Values for Machine Learning

A toolbox to iNNvestigate neural networks' predictions!

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

Auto-Dark-Emacs is an auto changer between 2 themes, dark/light, following MacOS, Linux or Windows Dark Mode settings

A Toolbox for the Evaluation of machine learning Explanations

OmniXAI: A Library for eXplainable AI

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

A JavaScript library for rendering music notation and guitar tablature.

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

An editing environment for LaTeX mathematical documents

C++ library for audio and music analysis, description and synthesis, including Python bindings

Simple collection of MIR datasets with metadata and links

A swift and unified toolkit for symbolic music processing

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

A Python framework for the quantitative evaluation of eXplainable AI methods

Community list of startups working with AI in audio and music technology

Python library for working with Music Information Retrieval datasets

OpenXAI : Towards a Transparent Evaluation of Model Explanations

A Public Domain Leadsheet Dataset

Distributed Asynchronous Hyperparameter Optimization in Python

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

The mei-friend Web Application: Editing MEI in the Browser

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

All-In-One Music Structure Analyzer

Tools for diffing and merging of Jupyter notebooks.