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disco

Dimensionality reduction of human pose data for synergy discovery

Use of disco.py requires full installations of miniconda3, DeepLabCut, and HUB-DT.

Disco was developed to analyse data for my PhD thesis. Disco leverages functions from HUB-DT, DeepLabCut, and several of my own creation. Disco was assembled and tested on a Macbook Pro 16, M3 Max, 64GB RAM, using Sonoma 14.3.1, Python 3.10.8, and Spyder 5.4.3.

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Dimensionality reduction of human pose data for synergy discovery

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