项目作者: rushter

项目描述 :
机器学习算法实现的最小和干净的例子
高级语言: Python
项目地址: git://github.com/rushter/MLAlgorithms.git
创建时间: 2016-10-05T06:46:45Z
项目社区:https://github.com/rushter/MLAlgorithms

开源协议:MIT License

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Machine learning algorithms

A collection of minimal and clean implementations of machine learning algorithms.

Why?

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch.
The code is much easier to follow than the optimized libraries and easier to play with.
All algorithms are implemented in Python, using numpy, scipy and autograd.

Implemented:

Installation

  1. git clone https://github.com/rushter/MLAlgorithms
  2. cd MLAlgorithms
  3. pip install scipy numpy
  4. python setup.py develop

How to run examples without installation

  1. cd MLAlgorithms
  2. python -m examples.linear_models

How to run examples within Docker

  1. cd MLAlgorithms
  2. docker build -t mlalgorithms .
  3. docker run --rm -it mlalgorithms bash
  4. python -m examples.linear_models

Contributing

Your contributions are always welcome!
Feel free to improve existing code, documentation or implement new algorithm.
Please open an issue to propose your changes if they are big enough.