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.
pip install pyperch
For starter code and examples, see
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