{"payload":{"pageCount":26,"repositories":[{"type":"Public","name":"hot3d","owner":"facebookresearch","isFork":false,"description":"HOT-3D A dataset for egocentric 3D hand and object tracking. ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T23:49:16.803Z"}},{"type":"Public","name":"fairseq2","owner":"facebookresearch","isFork":false,"description":"FAIR Sequence Modeling Toolkit 2","allTopics":["python","machine-learning","deep-learning","pytorch","artificial-intelligence"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":6,"issueCount":45,"starsCount":606,"forksCount":58,"license":"MIT License","participation":[39,11,13,9,10,11,10,4,2,8,7,2,19,11,7,13,14,5,4,7,17,7,12,23,2,15,19,7,5,15,3,8,10,4,12,10,12,4,3,22,15,24,8,8,12,20,8,8,22,15,18,21],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T23:18:24.789Z"}},{"type":"Public","name":"ResponsibleNLP","owner":"facebookresearch","isFork":false,"description":"Repository for research in the field of Responsible NLP at Meta.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":4,"starsCount":167,"forksCount":23,"license":"Other","participation":[0,0,0,8,4,0,0,0,0,0,0,37,2,0,0,2,0,1,1,5,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:36:33.635Z"}},{"type":"Public","name":"fastMRI","owner":"facebookresearch","isFork":false,"description":"A large-scale dataset of both raw MRI measurements and clinical MRI images.","allTopics":["mri","convolutional-neural-networks","mri-reconstruction","fastmri","fastmri-challenge","fastmri-dataset","deep-learning","pytorch","medical-imaging"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":14,"starsCount":1261,"forksCount":370,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T19:47:06.296Z"}},{"type":"Public","name":"habitat-lab","owner":"facebookresearch","isFork":false,"description":"A modular high-level library to train embodied AI agents across a variety of tasks and environments.","allTopics":["python","simulator","research","reinforcement-learning","ai","computer-vision","deep-learning","robotics","deep-reinforcement-learning","sim2real"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":111,"issueCount":186,"starsCount":1786,"forksCount":455,"license":"MIT License","participation":[1,2,2,1,6,1,5,0,1,4,5,2,2,0,2,3,4,7,11,1,3,1,2,1,2,0,0,0,1,1,7,3,8,8,4,3,7,2,10,16,7,5,12,5,3,2,15,10,17,2,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T19:26:33.735Z"}},{"type":"Public","name":"hand_tracking_toolkit","owner":"facebookresearch","isFork":false,"description":"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.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T15:46:56.410Z"}},{"type":"Public","name":"fairseq","owner":"facebookresearch","isFork":false,"description":"Facebook AI Research Sequence-to-Sequence Toolkit written in Python.","allTopics":["python","pytorch","artificial-intelligence"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":139,"issueCount":1109,"starsCount":29577,"forksCount":6275,"license":"MIT License","participation":[2,1,0,1,0,0,0,0,0,1,0,0,1,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T14:33:38.846Z"}},{"type":"Public","name":"xformers","owner":"facebookresearch","isFork":false,"description":"Hackable and optimized Transformers building blocks, supporting a composable construction.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":12,"issueCount":252,"starsCount":7867,"forksCount":555,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T12:44:59.907Z"}},{"type":"Public","name":"BenchMARL","owner":"facebookresearch","isFork":false,"description":"A collection of MARL benchmarks based on TorchRL","allTopics":["benchmark","machine-learning","reinforcement-learning","robotics","torch","pytorch","multi-agent","rl","multi-agent-reinforcement-learning","marl"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":4,"starsCount":180,"forksCount":19,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,7,3,1,1,2,9,7,0,1,2,0,0,8,3,2,4,0,0,6,3,0,0,0,0,3,1,5,6,0,0,0,0,0,9],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T16:50:29.414Z"}},{"type":"Public","name":"lightplane","owner":"facebookresearch","isFork":false,"description":"Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":210,"forksCount":7,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T00:26:32.393Z"}},{"type":"Public","name":"ears_dataset","owner":"facebookresearch","isFork":false,"description":"Expressive Anechoic Recordings of Speech (EARS)","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":54,"forksCount":2,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T19:47:06.967Z"}},{"type":"Public","name":"CompilerGym","owner":"facebookresearch","isFork":false,"description":"Reinforcement learning environments for compiler and program optimization tasks","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":14,"issueCount":96,"starsCount":867,"forksCount":121,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T19:34:19.053Z"}},{"type":"Public","name":"AnimatedDrawings","owner":"facebookresearch","isFork":false,"description":"Code to accompany \"A Method for Animating Children's Drawings of the Human Figure\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":12,"starsCount":10275,"forksCount":877,"license":"MIT License","participation":[2,3,0,0,5,1,0,0,9,0,0,0,4,0,0,0,0,0,0,1,1,2,0,0,3,2,0,2,0,0,0,0,0,0,0,1,0,0,3,0,7,0,0,0,0,2,0,0,0,0,2,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T19:15:01.219Z"}},{"type":"Public","name":"detectron2","owner":"facebookresearch","isFork":false,"description":"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":85,"issueCount":409,"starsCount":29134,"forksCount":7298,"license":"Apache License 2.0","participation":[1,0,1,1,1,2,0,1,1,0,1,1,1,1,1,1,0,1,0,1,1,0,0,0,1,1,1,0,0,1,0,0,3,0,1,0,0,3,1,0,1,2,0,2,2,1,4,0,1,4,0,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T14:58:35.720Z"}},{"type":"Public","name":"nevergrad","owner":"facebookresearch","isFork":false,"description":"A Python toolbox for performing gradient-free optimization","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":44,"issueCount":88,"starsCount":3876,"forksCount":347,"license":"MIT License","participation":[7,1,2,3,1,2,1,0,0,0,1,1,0,7,1,4,2,0,0,0,0,1,3,1,0,1,0,0,0,0,7,0,0,0,0,4,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:06:41.532Z"}},{"type":"Public","name":"pytorch3d","owner":"facebookresearch","isFork":false,"description":"PyTorch3D is FAIR's library of reusable components for deep learning with 3D data","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":21,"issueCount":250,"starsCount":8428,"forksCount":1269,"license":"Other","participation":[5,0,1,5,5,1,0,0,1,0,1,1,0,1,1,0,0,2,0,5,0,4,1,1,4,3,1,2,1,1,1,1,4,1,2,3,0,2,2,0,1,4,0,1,0,0,1,2,0,0,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T07:11:38.947Z"}},{"type":"Public","name":"d2go","owner":"facebookresearch","isFork":false,"description":"D2Go is a toolkit for efficient deep learning","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":21,"issueCount":44,"starsCount":827,"forksCount":197,"license":"Apache License 2.0","participation":[4,10,1,1,4,4,0,4,1,3,1,1,1,0,4,1,2,1,2,1,1,2,1,0,1,2,2,0,0,2,3,0,0,1,1,1,1,1,1,2,1,2,0,0,1,0,2,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T07:06:28.298Z"}},{"type":"Public","name":"generative-recommenders","owner":"facebookresearch","isFork":false,"description":"Repository hosting code used to reproduce results in \"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations\" (https://arxiv.org/abs/2402.17152, ICML'24).","allTopics":["recommendations","recsys","recommender-systems","actions-speak-louder-than-words","generative-recommenders","hstu"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":8,"starsCount":411,"forksCount":66,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-10T23:14:30.812Z"}},{"type":"Public","name":"fairscale","owner":"facebookresearch","isFork":false,"description":"PyTorch extensions for high performance and large scale training.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":28,"issueCount":72,"starsCount":2963,"forksCount":264,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-10T17:16:39.647Z"}},{"type":"Public","name":"multimodal","owner":"facebookresearch","isFork":false,"description":"TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":20,"issueCount":8,"starsCount":1345,"forksCount":130,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-10T15:03:04.757Z"}},{"type":"Public","name":"recipes","owner":"facebookresearch","isFork":false,"description":"Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reprodu…","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":2,"starsCount":279,"forksCount":34,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":[0,2,1,4,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-10T15:03:03.761Z"}},{"type":"Public","name":"ImageBind","owner":"facebookresearch","isFork":false,"description":"ImageBind One Embedding Space to Bind Them All","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":15,"issueCount":67,"starsCount":7996,"forksCount":725,"license":"Other","participation":[0,0,0,4,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-10T10:03:53.798Z"}},{"type":"Public","name":"balance","owner":"facebookresearch","isFork":false,"description":"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.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":19,"starsCount":674,"forksCount":41,"license":"GNU General Public License v2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-09T14:09:50.838Z"}},{"type":"Public","name":"vggsfm","owner":"facebookresearch","isFork":false,"description":"[CVPR 2024 Highlight] VGGSfM Visual Geometry Grounded Deep Structure From Motion","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":7,"starsCount":384,"forksCount":23,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,22,7,0,1,0,1,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-08T20:04:41.704Z"}},{"type":"Public","name":"home-robot","owner":"facebookresearch","isFork":false,"description":"Mobile manipulation research tools for roboticists","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":6,"issueCount":20,"starsCount":789,"forksCount":116,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-08T09:34:05.790Z"}},{"type":"Public","name":"Mephisto","owner":"facebookresearch","isFork":false,"description":"A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":20,"issueCount":43,"starsCount":296,"forksCount":73,"license":"MIT License","participation":[5,14,3,10,9,8,8,12,10,18,4,3,6,8,12,4,8,6,4,7,3,3,5,1,6,2,4,2,0,3,2,4,4,4,3,3,8,14,11,18,6,2,2,1,2,2,31,16,7,2,1,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:11:55.293Z"}},{"type":"Public","name":"hydra","owner":"facebookresearch","isFork":false,"description":"Hydra is a framework for elegantly configuring complex applications","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":32,"issueCount":242,"starsCount":8321,"forksCount":605,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-07T14:39:56.533Z"}},{"type":"Public","name":"dlrm","owner":"facebookresearch","isFork":false,"description":"An implementation of a deep learning recommendation model (DLRM)","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":15,"issueCount":22,"starsCount":3653,"forksCount":817,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-06T22:48:32.690Z"}},{"type":"Public","name":"fbpcp","owner":"facebookresearch","isFork":false,"description":"FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation) applications in a distributed way on virtual private clouds. FBPCF (Facebook Private Computation Framework) is for scaling MPC computation up via threading, while FBPCP is for scaling MPC computation out via P…","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":40,"issueCount":0,"starsCount":99,"forksCount":67,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-06T22:31:26.025Z"}},{"type":"Public","name":"fbpcs","owner":"facebookresearch","isFork":false,"description":" FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":95,"issueCount":0,"starsCount":140,"forksCount":157,"license":"MIT License","participation":[1,2,0,1,2,0,0,3,1,4,3,2,3,4,3,6,1,0,1,3,4,2,0,0,1,1,0,0,0,2,1,10,8,5,1,0,0,1,1,1,1,0,0,3,0,0,6,1,4,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T23:26:25.544Z"}}],"repositoryCount":751,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}