WindML
Project description
Refreshingly Lightweight Machine Learning (using only numpy). models include conditional-character-RNN, Transformer and a Direct Feedback Alignment NN and other one-shot models like extreme learning machines or matrix factorisation retrieval-based classifiers (for a model-free alternative)
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
windML-0.2.2.tar.gz
(12.8 kB
view hashes)
Built Distribution
windML-0.2.2-py3-none-any.whl
(21.4 kB
view hashes)