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segment-anything
segment-anything PublicThe 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.
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detectron2
detectron2 PublicDetectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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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.
- momentum Public
A library for human kinematic motion and numerical optimization solvers to apply human motion
- meta-agents-research-environments Public
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.
- spidr Public
This repository contains the training code from paper "SpidR Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision". SpidR is a self-supervised speech representation model that efficiently learns strong representations for spoken language modeling.
- Flow-World-Models Public
FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark.
- SustainableConcrete Public
Repository to track versions of concrete strength data, models, and active learning proposals.
- ocean Public
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++.
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