A library for efficient similarity search and clustering of dense vectors.

A library for human kinematic motion and numerical optimization solvers to apply human motion

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

FAIR Chemistry's library of machine learning methods for chemistry

Ocean is the in-house framework for Computer Vision (CV) and Augmented Reality (AR) applications at Meta. It is platform independent and is mainly implemented in C/C++.

Scalable and Performant Data Loading

FAIR Sequence Modeling Toolkit 2

An open source environment for digital agents.

Hackable and optimized Transformers building blocks, supporting a composable construction.

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.