Popular GitHub Repositories for Counterfactual Explanations

Enhancing code comprehension with AI-driven explanations and a secure code snippet repository.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Algorithms for explaining machine learning models

? An Open Source Texas Hold'em AI

Official Repo for "TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding"

AI-powered tools to enhance Anki flashcards with explanations, mnemonics, illustrations, and adaptive learning for medical school and beyond

Use AI-powered code edits, explanations, code generation, error diagnosis, and chat in Visual Studio Code with the official OpenAI API.

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

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

? Adversarial attacks on explanations and how to defend them

Scalable Implementation of Deep CFR and Single Deep CFR

Diffusers-Interpret ?????♀?: Model explainability for ? Diffusers. Get explanations for your generated images.

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

Repository for the Explainable Deep One-Class Classification paper

? PyTorch based visualization package for generating layer-wise explanations for CNNs.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)