Stars
Give Claude Code an external monitor
Comprehensive benchmark for RAG
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
ImageBind One Embedding Space to Bind Them All
Tutorial on amortized optimization for learning to optimize over continuous domains
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Hydra is a framework for elegantly configuring complex applications
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A dynamic binary instrumentation tool for tracing and analyzing CUDA kernel instructions.
A Production-Ready Causal Learning Library for Industrial Applications
A library to analyze PyTorch traces.
FAIR Chemistry's library of machine learning methods for chemistry
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
This is the official repository of our NeurIPS 2025 paper "MaxSup: Overcoming Representation Collapse in Label Smoothing"
code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
Hackable and optimized Transformers building blocks, supporting a composable construction.
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper