Facebook AI Research's Automatic Speech Recognition Toolkit
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Large Concept Models: Language modeling in a sentence representation space
An End-To-End, Lightweight and Flexible Platform for Game Research
A library for differentiable nonlinear optimization
A domain specific language to express machine learning workloads.
Deep Hough Voting for 3D Object Detection in Point Clouds
FAIR Sequence Modeling Toolkit 2
Official implementation of the paper "Watermark Anything with Localized Messages"
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Open and efficient video and image watermarking
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.
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Real-time Neural Signed Distance Fields for Robot Perception
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
🎬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.
GPU Cluster Monitoring (GCM): Large-Scale AI Research Cluster Monitoring
Evaluation Framework for Probabilistic Programming Languages