Skip to main content

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.

pip install pyperch

Examples

For starter code and examples, see

Backprop Neural Net

RHC Optimized Neural Net

SA Optimized Neural Net

GA Optimized Neural Net

Regression Examples

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyperch-0.1.3.tar.gz (733.5 kB view details)

Uploaded Source

File details

Details for the file pyperch-0.1.3.tar.gz.

File metadata

  • Download URL: pyperch-0.1.3.tar.gz
  • Upload date:
  • Size: 733.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.25.1 rfc3986/1.5.0 tqdm/4.66.1 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for pyperch-0.1.3.tar.gz
Algorithm Hash digest
SHA256 6e131b8f8cfbb7ca5dab949fc14526274c7151ee84c7a62a2c8380d95ed1798d
MD5 4962d4116f62e1c2496a0c42302766e8
BLAKE2b-256 206476f1ab61159d90256b2d393fe6b511099774313ba0cce4df04cb93946e5f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page