MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Code and Data for Tau-Bench

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/l…

A library for mechanistic interpretability of GPT-style language models

Training Sparse Autoencoders on Language Models

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

Circuit-Level Activation Steering

Mechanistic Interpretability Visualizations using React

Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"

Shear Optimization with ShOpt.jl, a julia package for empirical point spread function characterizations

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from easy questions to hard

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Interpreting how transformers simulate agents performing RL tasks

The nnsight website, which explains and documents the open-source nnsight API

The nnsight package enables interpreting and manipulating the internals of deep learned models.

The NDIF server, which performs deep inference and serves nnsight requests remotely

Recipe for a General, Powerful, Scalable Graph Transformer

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

Collection of Summer 2025 tech internships!

WebGL map rendering engine for creative cartography

A list of research papers in the domain of machine learning, deep learning and related fields.