interpretability

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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UpdatedApr 7, 2025
Python

interpretml /interpret

Star6.6k

Fit interpretable models. Explain blackbox machine learning.

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UpdatedJul 14, 2025
C++

pytorch /captum

Star5.3k

Model interpretability and understanding for PyTorch

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UpdatedJul 7, 2025
Python

tensorflow /lucid

Star4.7k

A collection of infrastructure and tools for research in neural network interpretability.

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UpdatedFeb 6, 2023
Jupyter Notebook

jphall663 /awesome-machine-learning-interpretability

Star3.8k

A curated list of awesome responsible machine learning resources.

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UpdatedJul 8, 2025

stellargraph /stellargraph

Star3k

StellarGraph - Machine Learning on Graphs

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UpdatedApr 10, 2024
Python

MAIF /shapash

Star2.9k

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

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UpdatedJun 12, 2025
Jupyter Notebook

SeldonIO /alibi

Star2.5k

Algorithms for explaining machine learning models

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UpdatedJun 13, 2025
Python

frgfm /torch-cam

Sponsor

Star2.2k

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

python deep-learning grad-cam cnn pytorch saliency-map interpretability smoothgrad interpretable-deep-learning gradcam activation-maps class-activation-map gradcam-plus-plus score-cam

UpdatedJul 18, 2025
Python

chaoyanghe /Awesome-Federated-Learning

Star2k

FedML - The Research and Production Integrated Federated Learning Library:https://fedml.ai

machine-learning privacy computer-vision semi-supervised-learning transfer-learning wireless-communication distributed-optimization interpretability neural-architecture-search federated-learning continual-learning vertical-federated-learning non-iid decentralized-federated-learning hierarchical-federated-learning adversarial-attack-and-defense communication-efficiency straggler-problem computation-efficiency incentive-mechanism

UpdatedSep 3, 2022

google-deepmind /penzai

Star1.8k

A JAX research toolkit for building, editing, and visualizing neural networks.

visualization neural-networks interpretability fine-tuning jax

UpdatedJun 22, 2025
Python

microsoft /responsible-ai-toolbox

Star1.6k

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.