habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the facebookresearch organization.
A flexible, high-performance 3D simulator for Embodied AI research.
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A deep learning library for video understanding research.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
FAIR Sequence Modeling Toolkit 2
Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.
Can Language Models Rebuild Programs From Scratch?
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.
SuperDex brings together a purpose-built physics engine, robotics authoring tools, and a scalable reinforcement learning interface in a unified simulation platform, with VR-based teleoperation and additional capabilities planned for future releases.
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
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.
Repository for the CVPR 2026 paper MeshFlow Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer by Weiyu Li, Antoine Toisoul, Tom Monnier, Roman Shapovalov, Rakesh Ranjan, Ping Tan and Andrea Vedaldi.
Python suite for neuroscience research across all modalities.