Randomized opt networks with PyTorch
Project description
pyperch
Getting Started
About
Pyperch is a neural network weight optimization package developed to support students taking Georgia Tech’s graduate machine learning course CS7641. Three random optimization algorithms - randomized hill climbing, simulated annealing, and a genetic algorithm - can be used as drop-in replacements for traditional gradient-based optimizers using PyTorch.
Install
pip install pyperch
Examples
For starter code and examples, see
Contributing
Pull requests are welcome.
- Fork pyperch.
- Create a branch (
git checkout -b branch_name) - Commit changes (
git commit -m "Comments") - Push to branch (
git push origin branch_name) - Open a pull request
Release history Release notifications | RSS feed
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