facebookresearch

facebookresearch

segment-anything

★ 54.863

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.

facebookresearch

faiss

★ 40.905

facebookresearch/faiss bietet eine praxistaugliche Open-Source-Implementierung mit stabiler Einsatzbarkeit für reale Anwendungsfälle.

facebookresearch

detectron2

★ 34.709

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

facebookresearch

mmf

★ 5.632

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

facebookresearch

map-anything

★ 3.740

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

facebookresearch

habitat-lab

★ 3.133

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

facebookresearch

Pearl

★ 3.029

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

facebookresearch

MobileLLM

★ 1.463

MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

facebookresearch

fairseq2

★ 1.149

FAIR Sequence Modeling Toolkit 2

facebookresearch

balance

★ 768

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.

facebookresearch

meta-agents-research-environments

★ 553

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.

facebookresearch

neuroai

★ 307

Python suite for neuroscience research across all modalities.