Python 机器学习框架 - 收藏集 - 掘金

DEAP – 一个用于快速原型和测试思想的新颖的进化计算框架 – 后端 – 掘金

DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explici…

Pattern – Python 的 Web 挖掘模块 – 后端 – 掘金

Pattern 2.6 Download pattern-2.6.zip Web mining module for Python, with tools for scraping, natural language processing, ma…

Fuel – 数据管道框架 – 后端 – 掘金

Fuel Fuel provides your machine learning models with the data they need to learn. Interfaces to common datasets such as MNIST, CI…

Annoy – Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk – 后端 – 掘金

Annoy …

PyMVPA – 一个用于简化大型数据集的统计学习分析 Python 包 – 后端 – 掘金

For information how to install PyMVPA please see doc/source/installation.rst . Further information and…

PyBrain – Python 模块化机器学习库 – 后端 – 掘金

PyBrain — the Python Machine Learning Library =============================================== INSTALLATION ———— Quick a…

Pymc – 贝叶斯统计模型 – 后端 – 掘金

Introduction Version: 2.3.6 Authors: Chris Fonnesbeck Anand Patil David Huard John Salvatier Web site:https://github.com/pymc-…

Orange3 – 开源机器学习和数据可视化工具 – 后端 – 掘金

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeli…

Nilearn: 一个用于在 NeuroImaging 数据上快速轻松地进行统计学习的 Python 模块 – 后端 – 掘金

nilearn Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Pyth…

Neon – 一个基于 Python 的深度学习库 – 后端 – 掘金

neon is Nervana ’s Python-based deep learning library. It provides ease of use while delivering the highest performance. Features …

NuPIC: Numenta Platform for Intelligent Computing – 后端 – 掘金

Numenta Platform for Intelligent Computing The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platf…

Chainer: A flexible framework of neural networks for deep learning – 后端 – 掘金

Requirements Chainer is tested on Ubuntu 14.04 and CentOS 7. We recommend them to use Chainer, though it may run on other systems…

The Shogun Machine Learning Toolbox – 后端 – 掘金

Unified and efficient Machine Learning since 1999. Latest release: Cite Shogun: Develop branch build status: Buildbot: …

Statsmodels: statistical modeling and econometrics in Python – 后端 – 掘金

About Statsmodels Statsmodels is a Python package that provides a complement to scipy for statistical computations including descr…

Pylearn2: A machine learning research library – 后端 – 掘金

This project does not have any current developer. We will continue to review pull requests and merge them when appropriate, but do…

gensim: Topic modelling for humans – 后端 – 掘金

Gensim 是一个免费的 Python 库,它具有诸如可扩展的统计语义等特征,它可用于分析纯文本文档的语义结构和检索语义相似的文档。…

Caffe: 深度学习框架 – 后端 – 掘金

Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vis…

TensorFlow — an Open Source Software Library for Machine Intelligence – 后端 – 掘金

TensorFlow™ is an open source software library for numerical computation using data flow graphs….

Theano – Python 机器学习框架 – 后端 – 掘金

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional …

scikit-learn: Python 机器学习框架 – 后端 – 掘金

Scikit-learn 是一种基于 NumPy、SciPy 和 matplotlib 的用于数据挖掘和数据分析的工具,其不仅使用起来简单高效,而且还是开源的,可供所有人使用,并且拥有商业可用的 BSD 许可证,在不同的环境下都能很好的被使用。…

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    原文地址: https://segmentfault.com/a/1190000009264065
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