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Python 機(jī)器學(xué)習(xí)框架 - 收藏集 - 掘金

GeekGhc / 2059人閱讀

摘要:一個用于快速原型和測試思想的新穎的進(jìn)化計算框架后端掘金的挖掘模塊后端掘金數(shù)據(jù)管道框架后端掘金后端掘金一個用于簡化大型數(shù)據(jù)集的統(tǒng)計學(xué)習(xí)分析包后端掘金模塊化機(jī)器學(xué)習(xí)庫后端掘金貝

DEAP - 一個用于快速原型和測試思想的新穎的進(jìn)化計算框架 - 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 挖掘模塊 - 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 - 數(shù)據(jù)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 - 一個用于簡化大型數(shù)據(jù)集的統(tǒng)計學(xué)習(xí)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 模塊化機(jī)器學(xué)習(xí)庫 - 后端 - 掘金

PyBrain -- the Python Machine Learning Library =============================================== INSTALLATION ------------ Quick a...

Pymc - 貝葉斯統(tǒng)計模型 - 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 - 開源機(jī)器學(xué)習(xí)和數(shù)據(jù)可視化工具 - 后端 - 掘金

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

Nilearn: 一個用于在 NeuroImaging 數(shù)據(jù)上快速輕松地進(jìn)行統(tǒng)計學(xué)習(xí)的 Python 模塊 - 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 - 一個基于 Python 的深度學(xué)習(xí)庫 - 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 是一個免費的 Python 庫,它具有諸如可擴(kuò)展的統(tǒng)計語義等特征,它可用于分析純文本文檔的語義結(jié)構(gòu)和檢索語義相似的文檔。...

Caffe: 深度學(xué)習(xí)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 機(jī)器學(xué)習(xí)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 機(jī)器學(xué)習(xí)框架 - 后端 - 掘金

Scikit-learn 是一種基于 NumPy、SciPy 和 matplotlib 的用于數(shù)據(jù)挖掘和數(shù)據(jù)分析的工具,其不僅使用起來簡單高效,而且還是開源的,可供所有人使用,并且擁有商業(yè)可用的 BSD 許可證,在不同的環(huán)境下都能很好的被使用。...

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