SeldonIO/alibi
Algorithms for explaining machine learning models
Model interpretability and understanding for PyTorch
Algorithms for explaining machine learning models
A game theoretic approach to explain the output of any machine learning model.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A library for mechanistic interpretability of GPT-style language models
This repository contains demos I made with the Transformers library by HuggingFace.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
1 capture since 2026-05-25