Public GitHub footprint of Meta Research

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Library for fast text representation and classification.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

End-to-End Object Detection with Transformers

[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

PyTorch code and models for the DINOv2 self-supervised learning method.

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

Foundational Models for State-of-the-Art Speech and Text Translation

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Reference PyTorch implementation and models for DINOv3

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Hydra is a framework for elegantly configuring complex applications

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

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Implementation of Nougat Neural Optical Understanding for Academic Documents

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

ImageBind One Embedding Space to Bind Them All

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

SAM 3D Objects

Code release for ConvNeXt model

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

High-resolution models for human tasks.

A data augmentations library for audio, image, text, and video.

CoTracker is a model for tracking any point (pixel) on a video.

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

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.

PyTorch code and models for VJEPA2 self-supervised learning from video.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

A flexible, high-performance 3D simulator for Embodied AI research.

[CVPR 2026 Oral] VGGT Omega

Language-Agnostic SEntence Representations

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

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.

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction

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.

Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages

Self-referential self-improving agents that can optimize for any computable task

Collection of common code that's shared among different research projects in FAIR computer vision team.

FAIR Chemistry's library of machine learning methods for chemistry

Code release for ConvNeXt V2 model

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

Training Large Language Model to Reason in a Continuous Latent Space

Mobile manipulation research tools for roboticists

[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"

1K resolution vision transformers pretrained on 1B human images.

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?

Code for the ShapeR research paper

Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

The first behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.

[CVPR'25 Highlight] Official repository of Sonata: Self-Supervised Learning of Reliable Point Representations

Momentum Human Rig is an anatomically-inspired parametric full-body digital human model developed at Meta. It includes: A parametric body skeletal model; A realistic 3D mesh skinned to the skeleton with levels of detail;A body blendshape and pose corrective model; A facial blendshape model.Its design is friendly for both CG and CV communities.

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.

Localized watermarking for AI-generated speech audios, with SOTA on robustness and very fast detector

Official PyTorch implementation of "InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image", ECCV 2020

An open source library designed to provide community examples of Joint Embedding Predictive Architectures (JEPAs). It contains code and examples for learning representations from images, video, and action-conditioned video, as well as planning using JEPA-based models.

Open and efficient video and image watermarking

Official code for the CVPR 2025 paper "Navigation World Models".

Code for the Boxer research paper

A general physic-based retargeting framework.

DocAgent is a system designed to generate high-quality, context-aware code documentation for Python codebases using a multi-agent approach and hierarchical processing.

VRS is a file format optimized to record & playback streams of sensor data, such as images, audio samples, and any other discrete sensors (IMU, temperature, etc), stored in per-device streams of timestamped records.

Foundation Models and Data for Human-Human and Human-AI interactions.

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

Public code release associated with SceneScript.

Goliath Dataset and Official PyTorch Implementation of RelightableHands, Relightable Gaussian Codec Avatars, and Driving-Signal Aware Full-Body Avatars.

code for "Riemannian Flow Matching on General Geometries".

Official implementation of All Atom Diffusion Transformers (ICML 2025)

Online Decision Transformer

Code for exploring surface electromyography (sEMG) data and training models associated with Reality Labs' paper

PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning

Code repository for emg2pose dataset and model benchmarks

Official repo for Nymeria and NymeriaPlus datasets.

GPU Cluster Monitoring (GCM): Large-Scale AI Research Cluster Monitoring

Repository to track versions of concrete strength data, models, and active learning proposals.

CoWTracker: Tracking by Warping instead of Correlation

Superintelligent Retrieval Agent (SIRA)

A surface electromyographic (sEMG) touch typing dataset with baselines. https://arxiv.org/abs/2410.20081.

Exca - Execution and caching tool for python

Physics-based Character Controllers Using Conditional VAEs (SIGGRAPH 2022)

GoTrack: Generic 6DoF Object Pose Refinement and Tracking, CV4MR 2025

pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark.

Code for "Agentic Very Long Video Understanding" (EGAgent) [ACL 2026 Main]

Post processing library used to analyze memory snapshots

The repository provides code for running STyMo Fast and Controllable Few-Shot Motion Style Transfer.

Companion repository to the paper "Multicalibration yields better matchings".https//arxiv.org/abs/2511.11413