GitHub / msahilgit / Unsupervised-Random-Forest
URF is a self-supervised version of traditional supervised-random-forest algorithm, facilitating the feature selection in protein biophysics for resolving protein's conformational representation.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msahilgit%2FUnsupervised-Random-Forest
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 58.8 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: data-representation, protein-biophysics, protein-conformational-changes, unsupervised-machine-learning, unsupervised-random-forest