facebookresearch

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...

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...

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"

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...

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

Reference PyTorch implementation and models for DINOv3

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

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

High-Resolution 3D Human Digitization from A Single Image.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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

SAM 3D Objects

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

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Repo for external large-scale work

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...

Code release for ConvNeXt model

A natural language modeling framework based on PyTorch

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

High-resolution models for human tasks.

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

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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

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

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.

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

[CVPR 2026 Oral] VGGT Omega

Reading Wikipedia to Answer Open-Domain Questions

Official DeiT repository

A Python toolbox for performing gradient-free optimization

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

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

An implementation of a deep learning recommendation model (DLRM)

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

Efficient 3D human pose estimation in video using 2D keypoint trajectories

Learning embeddings for classification, retrieval and ranking.

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

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

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...

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Facebook AI Research Sequence-to-Sequence Toolkit

The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use...

Language-Agnostic SEntence Representations

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...

Generate embeddings from large-scale graph-structured data.

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

PyTorch extensions for high performance and large scale training.

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

A library for Multilingual Unsupervised or Supervised word Embeddings

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

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Torch implementation of DeepMask and SharpMask

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

PyTorch original implementation of Cross-lingual Language Model Pretraining.

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

Code and dataset for photorealistic Codec Avatars driven from audio

HiPlot makes understanding high dimensional data easy

State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

Large Concept Models: Language modeling in a sentence representation space

FAIR Chemistry's library of machine learning methods for chemistry

Schedule-Free Optimization in PyTorch

PyRobot: An Open Source Robotics Research Platform

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

InferSent sentence embeddings

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

Codebase for Image Classification Research, written in PyTorch.

Submanifold sparse convolutional networks

A Python framework for AI-driven character animation using neural networks.

A python tool for evaluating the quality of sentence embeddings.

Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

DarkForest, the Facebook Go engine.

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

An End-To-End, Lightweight and Flexible Platform for Game Research

Code for BLT research paper

Code release for ConvNeXt V2 model

A library for differentiable nonlinear optimization

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

Non-local Neural Networks for Video Classification

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a...

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

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024