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Powerful utilities and routines for iterative optimization and especially deep learning.

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omni-learn

This repo contains a framework for various machine learning and simulation projects.

Installation

Run pip install . while in this dir to install package.

Environment Variables

It is strongly encouraged to set a few environment variables when using this library:

OMNILEARN_SAVE_DIR="$HOME/trained_nets" - set this to an absolute path to a directory you have write access to, this is where scripts will save output (by default).

OMNILEARN_DATA_DIR="$HOME/local_data" - set this to an absolute path to a directory with some datasets (best to also have write access to allow automatic downloading of some datasets).

Execution

For an example of how to use this library, see the mnist/ dir.

An example execution from inside the mnist/ dir (requires the environment variables above to be set):

python project.py model --name test-mnist

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Powerful utilities and routines for iterative optimization and especially deep learning.

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