HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the facebookresearch organization.
GitHub describes it as 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.. The repository metadata lists Jupyter Notebook as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
A library for efficient similarity search and clustering of dense vectors.
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)
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
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.