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- DLC2Action is an action segmentation package that makes running and tracking of machine learning experiments easy.
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PublicBrownBear_ReID
PublicCode for ReIDing bearslmms-eval
Publicdlc2action_annotation
PublicSimple vispy-based frame-by-frame behavior annotation GUI. Also can display DeepLabCut poses within videos during annotation.arnold-the-generalist
PublicSomething exciting is coming soonlmms-eval-lemonade
PublicProprioceptiveIllusions
Public[Experimental Physiology] Deep-learning models of the ascending proprioceptive pathway are subject to illusionsMammAlps
PublicNX-414
PublicPOET-live
PublicPOET-live-GUI
PublicDeepDraw
Public[eLife 2023] Code for "Contrasting action and posture coding with hierarchical deep neural network models of proprioception"MyoChallengeAnalysis
Public[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022myochallenge
Public[NeurIPS 2022, Neuron 2024] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022HOISDF
Public[CVPR 2024] HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance FieldsDLCutils
Publicodeformer
Publicmyochallenge-lattice
PublicBUCTD
Public[ICCV 2023] Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguityMegatron-LLM
PublicLemanicHackathon
Public- [Cell 2024]: Code for Task-driven neural network models predict neural dynamics of proprioception by Marin Vargas* and Bisi* et al.