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URL: https://github.com/LINCellularNeuroscience/VAME
Proper Citation: Variational Embedding of Animal Motion (RRID:SCR_022477)
Description: Software Python tool to cluster behavioral signals obtained from pose estimation tools. Unsupervised probabilistic deep learning framework capable of finding behavioral motifs in pose estimation data. Capable of augmenting quantitative behavioral analyses of data derived from standard pose-estimation software packages. Written based on core functions from DeepLabCut, and readily works with pose data from that package. Can also work with data from other pose estimation packages such as SLEAP.
Abbreviations: VAME
Synonyms: Variational Animal Motion Embedding, VAME: Variational Embedding of Animal Motion
Resource Type: software resource, data processing software, software application, data visualization software
Keywords: OpenBehavior, vame, variational embedding of animal motion, pytorch, pose estimation
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