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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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A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
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Repository to track versions of concrete strength data, models, and active learning proposals.
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projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data.
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Data loader and visualization tool for Project Aria Gen2 pilot dataset.
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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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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.
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