segment-anything
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.
RÉPERTOIRE HYSEN LABS
Dépôts vérifiés, classifications et analyses de l’organisation facebookresearch.
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 offre une implémentation open source exploitable en conditions réelles avec une structure réutilisable.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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.
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MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
FAIR Sequence Modeling Toolkit 2
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.
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.
Python suite for neuroscience research across all modalities.