fairseq2
FAIR Sequence Modeling Toolkit 2
HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the facebookresearch organization.
FAIR Sequence Modeling Toolkit 2
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
1K resolution vision transformers pretrained on 1B human images.
Can Language Models Rebuild Programs From Scratch?
Mobile vision models and code
Research code artifacts for Code World Model (CWM) including inference tools, reproducibility, and documentation.
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.
Code for the ShapeR research paper
projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data.
Official repository for "Context Language Models"
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.
Open and efficient video and image watermarking
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.
Localized watermarking for AI-generated speech audios, with SOTA on robustness and very fast detector
Ocean is the in-house framework for Computer Vision (CV) and Augmented Reality (AR) applications at Meta. It is platform independent and is mainly implemented in C/C++.
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.
Official implementation of Tuna-2: Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation
Efficient Universal Perception Encoder: a single on-device vision encoder with versatile representations that match or exceed specialized experts across multiple task domains.
SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.
Code for the Boxer research paper