ShapA game theoretic approach to explain the output of any machine learning model.
InterpretFit interpretable models. Explain blackbox machine learning.
CARLACARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
sageFor calculating global feature importance using Shapley values.
zennitZennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
staginSTAGIN: Spatio-Temporal Attention Graph Isomorphism Network
contextual-aiContextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.
deep-explanation-penalizationCode for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
mllpThe code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
responsible-ai-toolboxThis project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Transformer-MM-Explainability[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
ArenaRData generator for Arena - interactive XAI dashboard
concept-based-xaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
spatio-temporal-brainA Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
ALPS 2021XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
GNNLens2Visualization tool for Graph Neural Networks
thermostatCollection of NLP model explanations and accompanying analysis tools