Skip to main content

A tidy library for gradient-based optimization

Project description

TidyGrad

TidyGrad | Documentation | Discord

A tidy library for gradient-based optimization

Tests

Install

pip install -e tidygrad

Dev

pip install -e .[dev] # Local install with dev dependencies
  • Hack
  • Hack
  • Hack
  • (edit and run the notebooks in the ./nbs directory).
nbdev_prepare

nbdev_prepare will:

  • Export all norebooks into the ./tidygrad directory.
    • Note: the notebooks themselves have an export cell, so they are exported every time you run them.
  • Run all notebooks (equivalent of testing)
  • Generate REDME.md from the index.ipynb
  • Generate the docs

How to use

# Later

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

tidygrad-0.0.1.tar.gz (9.5 kB view details)

Uploaded Source

Built Distribution

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

tidygrad-0.0.1-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file tidygrad-0.0.1.tar.gz.

File metadata

  • Download URL: tidygrad-0.0.1.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for tidygrad-0.0.1.tar.gz
Algorithm Hash digest
SHA256 11f90a231e896ecdd10168d0b10ca4a18b5c7d30171ee32e53e657b108d3bf40
MD5 cb244a0f1912d200cbc3fe9ea397290e
BLAKE2b-256 8d4b39d4a1d46c1fb9001374b560fc7deff6b7205975ab9e89660e3d8dcd80a8

See more details on using hashes here.

File details

Details for the file tidygrad-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: tidygrad-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for tidygrad-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 812c12535ff5eaab2eeb14d483af5476f73bc0328fa65b9ca9266f7d270bccce
MD5 bac32f0497c3a424ed34b9f075fcb63b
BLAKE2b-256 ffa49a7b063224a42809e064a81131e7c7cdbceecec6ad5b7e8982d9d7c6a512

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