Skip to main content

Automatic Differentiation Package

Project description

cs207-FinalProject

Group number: 28

Team Members:

Josh Bodner

Theo Guenais

Daiki Ina

Junzhi Gong

Download and use autodiff

  • Activate virtual environment
  • Install the package
    pip install "pip install autodiff-ADdictedtoCS"
    
  • (Optional) Run tests with pytest
    $pytest 
    
  • Enjoy the features and natural approach of autodiff for automatic differentiation. Refer to the documentation for further information, or the demo.ipynb notebook for basic use case.

Project details


Release history Release notifications | RSS feed

This version

2.2

Download files

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

Source Distribution

autodiff-ADdictedtoCS-2.2.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

autodiff_ADdictedtoCS-2.2-py3-none-any.whl (23.3 kB view details)

Uploaded Python 3

File details

Details for the file autodiff-ADdictedtoCS-2.2.tar.gz.

File metadata

  • Download URL: autodiff-ADdictedtoCS-2.2.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for autodiff-ADdictedtoCS-2.2.tar.gz
Algorithm Hash digest
SHA256 b3dfbc4285c18afc164ff75b0673362369caee1a44bb5fd6e6d9e7d9a4915fec
MD5 004db172ffc2f9a7390558d7cc61240c
BLAKE2b-256 5b476f420597e461e63d16060c5ddc3e9d7ad03e917628403266c719c84684d9

See more details on using hashes here.

File details

Details for the file autodiff_ADdictedtoCS-2.2-py3-none-any.whl.

File metadata

  • Download URL: autodiff_ADdictedtoCS-2.2-py3-none-any.whl
  • Upload date:
  • Size: 23.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for autodiff_ADdictedtoCS-2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f611227d0f9b92a6c763482849f07de44a50be9503146916d55d4f535a582553
MD5 e91fc0a693143365559b0a02f5d063c6
BLAKE2b-256 f0cf45379dc6e9ade1ba949e9f47cc392d5d8a919aa705f1163d805abd7c5095

See more details on using hashes here.

Supported by

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