Framework for rapid research and development of machine learning projects using PyTorch.
Project description
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
License
This project is licensed under the MIT License - see the LICENSE file for details.
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