interpretable deep learning. yay!
Project description
idly
Overview
idly is a collection of popular machine learning algorithms implemented via DNN framework
Goals:
- Port most common Stat/ML models using DNN frameworks
- Import/Export models from/to a variety of DNN frameworks
- Drive interpretibility of the models
What's in a name - you ask?
Can we have idly along with nice kapy/Java/Mocha and take that question at a nearby Caffe. If you don't know, idly is a popular south Indian steamed rice pancake that tastes just right with a cup of filter coffee.
If you are still wondering - idly stands for Interpretable Deep Learning. Yay!
Install:
$ pip install idly
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
idly-0.0.3.tar.gz
(3.4 MB
view hashes)