easy way for non-linear dimensionality increase or reduction
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for easyAE-samuel.revolinski-0.0.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a499f054b38130075d67ed8db77162807b8a6a86a299a0e495d10bdfc6d7e182 |
|
MD5 | 6ee3319eaf2ee73d0042cf9466cad83f |
|
BLAKE2b-256 | 689213599e3947e2ea641501a7048a46845c134c9379507e68e5979c2e3dd18d |
Close
Hashes for easyAE_samuel.revolinski-0.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c9cd523af6c0bff5c832b59e421fd5f076ceba46190d15d260deee0607517e89 |
|
MD5 | 6c7dd2857e5f6415a79b5c7d6d66633e |
|
BLAKE2b-256 | ac6e418d0e5df0eaabee2cdbc3efbc632e1a0cfb7de3ae4c02cca5ce934a0a2b |