easyAE-samuel.revolinski

Release 0.0.0

easy way for non-linear dimensionality increase or reduction

Homepage PyPI Jupyter Notebook

Keywords
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
License
MIT
Install
pip install easyAE-samuel.revolinski==0.0.0

Documentation

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

Stats

Dependencies
0
Dependent packages
0
Dependent repositories
0
Total releases
1
Latest release
First release
Stars
0
Forks
0
Watchers
2
Contributors
1
Repository size
138 KB
SourceRank
6

Development practices

Source repo 2FA enabled
TEXT!
Package manager 2FA enabled
TEXT!
Is security responsive
TEXT!
Dependencies are managed
TEXT!
Issue-free release available
TEXT!
Succession plan available
TEXT!
Package manager 2FA enabled
TEXT!

The Tidelift Subscription provides access to a continuously curated stream of human-researched and maintainer-verified data on open source packages and their licenses, releases, vulnerabilities, and development practices.

Learn more →

Releases

0.0.0

Contributors

SamuelRevolinski


See all contributors

Something wrong with this page? Make a suggestion

Export .ABOUT file for this package

Last synced: 2021-02-14 23:33:41 UTC

Login to resync this project