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Framework for rapid research and development of machine learning projects using PyTorch.

Project description

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Framework for rapid research and development of machine learning projects using PyTorch.

Longer description coming soon!

Basic usage: custom modules with luz.Module functionality. Simply define your model, inherit from luz.Module, and use model.train/model.test.

Next level: simplified training algorithms with transforms and handlers.

Next level: straightforward hyperparameter tuning with various scoring mechanisms.

Getting Started

Prerequisites

Installing

To install, open a shell terminal and run:

`conda create -n luz -c conda-forge -c pytorch -c kijana luz`

Versioning

Authors

Ki-Jana Carter

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


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Files for luz, version 6.0.0
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