https://github.com/zhiwu-zhang-lab/genetic_spectral_autoencoder

This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data
https://github.com/zhiwu-zhang-lab/genetic_spectral_autoencoder

auto-encoder auto-encoders autoencoder autoencoders dimensionality-reduction genetics genomics gwas keras machine-learning machine-learning-algorithms nir nonlinear population-structure spectral-analysis spectral-clustering unsupervised unsupervised-clustering unsupervised-learning unsupervised-machine-learning

Last synced: 26 days ago
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This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

• Host: GitHub
• URL: https://github.com/zhiwu-zhang-lab/genetic_spectral_autoencoder
• Owner: Zhiwu-Zhang-Lab
• Created: 2019-02-04T23:32:46.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-20T22:05:43.000Z (over 5 years ago)
• Last Synced: 2024-10-13T00:41:42.376Z (26 days ago)
• Topics: auto-encoder, auto-encoders, autoencoder, autoencoders, dimensionality-reduction, genetics, genomics, gwas, keras, machine-learning, machine-learning-algorithms, nir, nonlinear, population-structure, spectral-analysis, spectral-clustering, unsupervised, unsupervised-clustering, unsupervised-learning, unsupervised-machine-learning
• Language: Jupyter Notebook
• Size: 138 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# genetic_spectral_AutoEncoder

This repository is for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

#link to pypi page on project

https://pypi.org/project/easyAE/