interpretability

27 projects share this GitHub topic

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

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification,…

Fit interpretable models. Explain blackbox machine learning.

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

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

StellarGraph - Machine Learning on Graphs

Algorithms for explaining machine learning models

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM,…

Awesome-Federated-Learning

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

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

responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user…

[ICCV 2017] Torch code for Grad-CAM

transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2…

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting…

Locating and editing factual associations in GPT (NeurIPS 2022)

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Aspect-Based-Sentiment-Analysis

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Human-explainable AI.

[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Interpretability for sequence generation models 🐛 🔍

Chat2Graph: Graph Native Agentic System.

Awesome-Attention-Heads

An awesome repository & A comprehensive survey on interpretability of LLM attention heads.

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

This repository introduces MentaLLaMA, the first open-source instruction following large language model for…

Interpretable Causal Diffusion Language Models

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer,…

★ 42 · GitHub ↗

🔗 Related families

explainable-ai 23 explainability 10 explainable-ml 12 xai 16 visualization 80 transparency 4 gradient-boosting 10 privacy-preserving-machine-learning 4

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