https://github.com/nirum/descent

First-order optimization tools
https://github.com/nirum/descent

gradient-descent numerical-methods optimization proximal python

Last synced: about 1 month ago
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First-order optimization tools

• Host: GitHub
• URL: https://github.com/nirum/descent
• Owner: nirum
• License: mit
• Created: 2015-07-03T20:03:26.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2023-10-02T04:31:14.000Z (over 1 year ago)
• Last Synced: 2024-10-08T15:53:53.712Z (8 months ago)
• Topics: gradient-descent, numerical-methods, optimization, proximal, python
• Language: Python
• Size: 780 KB
• Stars: 25
• Watchers: 6
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Descent

[![Build Status](https://travis-ci.org/nirum/descent.svg?branch=master)](https://travis-ci.org/nirum/descent)

[![Coverage Status](https://codecov.io/gh/nirum/descent/branch/master/graph/badge.svg)](https://codecov.io/gh/nirum/descent)

[![Documentation Status](https://readthedocs.org/projects/descent/badge/?version=latest)](http://descent.readthedocs.org/en/latest/?badge=latest)

[![PyPi version](https://img.shields.io/pypi/v/descent.svg)](https://pypi.python.org/pypi/descent)

Descent is a package for performing first-order optimization in python.

Documentation (work in progress) is available at [descent.readthedocs.org](http://descent.readthedocs.org/en/latest/).

## Installation

To install, grab the latest release using `pip`:

```bash

$ pip install descent

```

## Contact

For bugs, comments, concerns: use the Github issue tracker.

Author: [Niru Maheswaranathan](http://niru.org/), nirum [a] stanford.edu

## License

MIT. See `LICENSE.md`

## Requirements

- Python 3.5+

- [numpy](http://www.numpy.org)

- [scipy](http://www.scipy.org)

- [toolz](https://github.com/pytoolz/toolz)

- [multipledispatch](https://github.com/mrocklin/multipledispatch)

- [tableprint](https://github.com/nirum/tableprint)