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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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- dexwm Public
Official code and data from DexWM ("World Models Can Leverage Human Videos for Dexterous Manipulation").
facebookresearch/dexwm’s past year of commit activity - projectaria_gen2_depth_from_stereo Public
A tutorial and a set of tools to compute depth-from-stereo with Project Aria Gen2 devices. This includes stereo image rectification as well as disparity estimation
facebookresearch/projectaria_gen2_depth_from_stereo’s past year of commit activity - momentum Public
A library for human kinematic motion and numerical optimization solvers to apply human motion
facebookresearch/momentum’s past year of commit activity - MD-CRL Public
Experiments to reproduce the results in "Multi-Domain Causal Representation Learning via Weak Distributional Invariances".
facebookresearch/MD-CRL’s past year of commit activity - rl_whole_eye_oct Public
A publicly available dataset of obtained using Reality Lab's Spectrally-multiplexed Whole-Eye Optical Coherence Tomography (SWE-OCT) scans of the human eye, capturing the retina and cornea / anterior segment simultaneously.
facebookresearch/rl_whole_eye_oct’s past year of commit activity - 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.
facebookresearch/meta-agents-research-environments’s past year of commit activity
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