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Meta Research

Organization

Публичный след на GitHub Meta Research

@facebookresearch
Просмотреть профиль на GitHub
Menlo Park, California

1 462

Публичные репозитории

513 418

Всего звезд

38 224

Подписчики

Организация facebookresearch, принадлежащая Meta Research, активно использует GitHub для размещения своих проектов. Среди основных языков программирования, используемых в их репозиториях, можно выделить Python, Jupyter Notebook и C++. В их публичных репозиториях представлены проекты, такие как segment-anything и detectron2, которые широко применяются в области компьютерного зрения и обработки данных.

Основные языки

Python 77Jupyter Notebook 12C++ 6HTML 2Lean 2

Публичные репозитории

segment-anything

★55 068

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.

Jupyter Notebook
Обновлено 26 окт. 2026 г.

faiss

★41 217

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

C++
Обновлено 27 окт. 2026 г.

detectron2

★34 952

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

Python
Обновлено 26 окт. 2026 г.

fairseq

★32 213

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

Python
Обновлено 26 окт. 2026 г.

fastText

★26 519

Library for fast text representation and classification.

HTML
Обновлено 26 окт. 2026 г.

Detectron

★26 350

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

Python
Обновлено 26 окт. 2026 г.

audiocraft

★23 759

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.

Jupyter Notebook
Обновлено 26 окт. 2026 г.

sam2

★20 062

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.

Jupyter Notebook
Обновлено 26 окт. 2026 г.

vggt

★14 564

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

Python
Обновлено 26 окт. 2026 г.

dinov2

★13 478

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

Jupyter Notebook
Обновлено 27 окт. 2026 г.

AnimatedDrawings

★12 809

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

Python
Обновлено 26 окт. 2026 г.

sam3

★12 113

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.

Python
Обновлено 26 окт. 2026 г.

seamless_communication

★11 895

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

Jupyter Notebook
Обновлено 26 окт. 2026 г.

dinov3

★11 635

Reference PyTorch implementation and models for DINOv3

Jupyter Notebook
Обновлено 27 окт. 2026 г.

xformers

★10 571

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

Python
Обновлено 26 окт. 2026 г.

demucs

★10 403

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Python
Обновлено 26 окт. 2026 г.

nougat

★10 088

Implementation of Nougat Neural Optical Understanding for Academic Documents

Python
Обновлено 26 окт. 2026 г.

maskrcnn-benchmark

★9 360

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

Python
Обновлено 26 окт. 2026 г.

DiT

★8 676

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Python
Обновлено 26 окт. 2026 г.

mae

★8 360

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

Python
Обновлено 26 окт. 2026 г.

sam-3d-objects

★7 577

SAM 3D Objects

Python
Обновлено 26 окт. 2026 г.

ConvNeXt

★6 409

Code release for ConvNeXt model

Python
Обновлено 26 окт. 2026 г.

sapiens

★5 436

High-resolution models for human tasks.

Python
Обновлено 26 окт. 2026 г.

co-tracker

★5 170

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

Jupyter Notebook
Обновлено 26 окт. 2026 г.

flow_matching

★4 818

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.

Python
Обновлено 26 окт. 2026 г.

vjepa2

★4 814

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

Python
Обновлено 26 окт. 2026 г.

lingua

★4 771

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

Python
Обновлено 26 окт. 2026 г.

vggt-omega

★4 695

[CVPR 2026 Oral] VGGT Omega

Python
Обновлено 26 окт. 2026 г.

nevergrad

★4 218

A Python toolbox for performing gradient-free optimization

Python
Обновлено 26 окт. 2026 г.

jepa

★4 182

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

Python
Обновлено 26 окт. 2026 г.

esm

★4 173

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

Python
Обновлено 26 окт. 2026 г.

dlrm

★4 076

An implementation of a deep learning recommendation model (DLRM)

Python
Обновлено 26 окт. 2026 г.

VideoPose3D

★4 055

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

Python
Обновлено 26 окт. 2026 г.

habitat-sim

★3 852

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

C++
Обновлено 26 окт. 2026 г.

map-anything

★3 852

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

Python
Обновлено 26 окт. 2026 г.

sam-audio

★3 679

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.

Python
Обновлено 26 окт. 2026 г.

sam-3d-body

★3 646

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 the model.

Python
Обновлено 26 окт. 2026 г.

tribev2

★3 327

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

Jupyter Notebook
Обновлено 26 окт. 2026 г.

habitat-lab

★3 170

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

Python
Обновлено 26 окт. 2026 г.

audio2photoreal

★2 847

Code and dataset for photorealistic Codec Avatars driven from audio

Python
Обновлено 26 окт. 2026 г.

HyperAgents

★2 837

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

Python
Обновлено 26 окт. 2026 г.

perception_models

★2 401

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

Jupyter Notebook
Обновлено 26 окт. 2026 г.

large_concept_model

★2 387

Large Concept Models: Language modeling in a sentence representation space

Python
Обновлено 26 окт. 2026 г.

fairchem

★2 323

FAIR Chemistry's library of machine learning methods for chemistry

Python
Обновлено 26 окт. 2026 г.

brain2qwerty

★1 177

Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.

Python
Обновлено 26 окт. 2026 г.

sapiens2

★1 010

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

Python
Обновлено 26 окт. 2026 г.

EdgeTAM

★1 007

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

Jupyter Notebook
Обновлено 26 окт. 2026 г.

ProgramBench

★974

Can Language Models Rebuild Programs From Scratch?

Python
Обновлено 26 окт. 2026 г.

spiritlm

★925

Inference code for the paper "Spirit-LM Interleaved Spoken and Written Language Model".

Python
Обновлено 26 окт. 2026 г.

ShapeR

★897

Code for the ShapeR research paper

Python
Обновлено 26 окт. 2026 г.

MHR

★880

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.

Python
Обновлено 26 окт. 2026 г.

projectaria_tools

★859

projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data.

C++
Обновлено 26 окт. 2026 г.

audiobox-aesthetics

★776

Unified automatic quality assessment for speech, music, and sound.

Python
Обновлено 26 окт. 2026 г.

context-language-models

★768

Official repository for "Context Language Models"

Python
Обновлено 26 окт. 2026 г.

project_superdex

★765

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.

C++
Обновлено 26 окт. 2026 г.

EUPE

★732

Efficient Universal Perception Encoder: a single on-device vision encoder with versatile representations that match or exceed specialized experts across multiple task domains.

Python
Обновлено 26 окт. 2026 г.

BenchMARL

★677

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

Python
Обновлено 26 окт. 2026 г.

Ego4d

★660

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

Jupyter Notebook
Обновлено 26 окт. 2026 г.

pippo

★655

Pippo: High-Resolution Multi-View Humans from a Single Image

Python
Обновлено 26 окт. 2026 г.

spider

★587

A general physic-based retargeting framework.

Python
Обновлено 26 окт. 2026 г.

drzero

★573

Dr. Zero Self-Evolving Search Agents without Training Data

Python
Обновлено 26 окт. 2026 г.

meshflow

★528

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
Обновлено 26 окт. 2026 г.

pixio

★495

[CVPR 2026] Pixio: a capable vision encoder dedicated to dense prediction, simply by pixel reconstruction

Python
Обновлено 26 окт. 2026 г.

actionmesh

★446

🎬ActionMesh: A fast video to animated mesh model with unprecedented quality. Generate animated mesh seamlessly importable into any 3D software in less than a minute.

Python
Обновлено 26 окт. 2026 г.

momentum

★433

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

C++
Обновлено 26 окт. 2026 г.

seamless_interaction

★431

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

Python
Обновлено 26 окт. 2026 г.

spdl

★401

Scalable and Performant Data Loading

Python
Обновлено 26 окт. 2026 г.

RAM

★395

A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).

Python
Обновлено 26 окт. 2026 г.

DepthLM_Official

★370

[ICLR 2026 Oral (top 1.2%)] Official implementation of DepthLM

Python
Обновлено 26 окт. 2026 г.

neuroai

★334

Python suite for neuroscience research across all modalities.

Python
Обновлено 27 окт. 2026 г.

atlas-lean

★323

ATLAS Autoformalized Textbook Library At Scale

Lean
Обновлено 26 окт. 2026 г.

jepa-intuitive-physics

★274

This repo contains the code for the paper "Intuitive physics understanding emerges fromself-supervised pretraining on natural videos"

Jupyter Notebook
Обновлено 26 окт. 2026 г.

dacvae

★237

DACVAE

Python
Обновлено 26 окт. 2026 г.

ears_dataset

★232

Expressive Anechoic Recordings of Speech (EARS)

Python
Обновлено 26 окт. 2026 г.

swe-sweep

★197

How many bugs can LMs find & fix in large codebases?

Python
Обновлено 26 окт. 2026 г.

exca

★139

Exca - Execution and caching tool for python

Python
Обновлено 27 окт. 2026 г.

simmc

★132

With the aim of building next generation virtual assistants that can handle multimodal inputs and perform multimodal actions, we introduce two new datasets (both in the virtual shopping domain), the annotation schema, the core technical tasks, and the baseline models. The code for the baselines and the datasets will be opensourced.

Python
Обновлено 26 окт. 2026 г.

autoform-bot

★129

Autoform Bot

Python
Обновлено 26 окт. 2026 г.

Large-Sparse-Reconstruction-Model

★125

LSRM is a SOTA, feed-forward 3D reconstruction model that generates high-fidelity, relightable 3D digital twins from sparse 2D views.

Python
Обновлено 26 окт. 2026 г.

OpenApps

★124

An open source environment for digital agents.

Python
Обновлено 26 окт. 2026 г.

MODel_opt

★122

Memory Optimizations for Deep Learning (ICML 2023)

Python
Обновлено 26 окт. 2026 г.

GenIA

★116

Generative Reconstruction with Test-Time Input Alignment

Python
Обновлено 26 окт. 2026 г.

hand_tracking_toolkit

★82

This repository contains utilities for loading data from Meta's datasets with hand pose annotations, computing hand tracking metrics, and visualising results of a hand tracking method.

Python
Обновлено 26 окт. 2026 г.

AutoPartGen

★70

[NeurIPS 2025] AutoPartGen: Autoregressive 3D Part Generation and Discovery. This is a re-implementation of original model.

Python
Обновлено 26 окт. 2026 г.

real-acoustic-fields

★66

Real Acoustic Fields An Audio-Visual Room Acoustics Dataset and Benchmark

Неизвестный язык
Обновлено 26 окт. 2026 г.

segment_this_thing

★65

Segment This Thing is an efficient image segmentation models that uses a biologically-inspired foveated tokenization to reduce inference costs.

Python
Обновлено 26 окт. 2026 г.

robo_jepa

★63

OSS of roboJEPA

Python
Обновлено 26 окт. 2026 г.

PAHF

★63

PAHF Personalized Agent from Human Feedback

Python
Обновлено 26 окт. 2026 г.

pyvrs

★62

Python interface for https//github.com/facebookresearch/vrs.

C++
Обновлено 26 окт. 2026 г.

neuromorph

★52

Implementation of the NeuroMorph method from CVPR 2021.

Python
Обновлено 26 окт. 2026 г.

sparse-delta-memory

★42

This repositories contains the reference implementation for the Sparse Delta Memory paper.More precisely, it contains the model definition as well as triton and cuda kernels for the Sparse Delta Memory layer.

Python
Обновлено 26 окт. 2026 г.

recur

★41

symbolic regression

Python
Обновлено 26 окт. 2026 г.

algebraic-combinatorics

★29

Automatic textbook formalization of Grinberg Algebraic Combinatorics

HTML
Обновлено 26 окт. 2026 г.

STyMo

★21

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

Python
Обновлено 26 окт. 2026 г.

multiloko

★19

A benchmark with locally sourced multilingual questions for 31 languages.

Python
Обновлено 26 окт. 2026 г.

autoformbench

★11

A Lean Formalization Benchmark for Advanced Mathematics

Lean
Обновлено 26 окт. 2026 г.

E2E-SWE

★8

E2E-SWE Benchmarking LLMs on Building Working Codebases from Scratch

Python
Обновлено 26 окт. 2026 г.

Memo-Pro-Agent

★7

This is the repo of our Memory Driven Proactive Agent

Python
Обновлено 26 окт. 2026 г.

InteractiveWorld

★4

This is the official repo for paper InteractiveWorld A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants

Python
Обновлено 26 окт. 2026 г.

retrieval-programs

★1

Official implementation of "Learning to Program Retrievals Composing Search Primitives via Reinforcement Learning"

Python
Обновлено 26 окт. 2026 г.

Часто задаваемые вопросы

Что разрабатывает facebookresearch на GitHub?

facebookresearch разрабатывает широкий спектр проектов, включая инструменты для компьютерного зрения, такие как detectron2, а также библиотеки для обработки аудио и текста, например, fastText и audiocraft.

Какие языки программирования использует facebookresearch?

Основными языками программирования, используемыми в репозиториях facebookresearch, являются Python, Jupyter Notebook, C++ и HTML. Эти языки помогают в разработке различных инструментов и библиотек для исследований в области ИИ.

Являются ли репозитории facebookresearch публичными?

Да, все репозитории facebookresearch являются публичными. Это позволяет исследователям и разработчикам по всему миру использовать, изучать и вносить вклад в их проекты, такие как faiss и fairseq.

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