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
Pattern - Python 的 Web 挖掘模塊 - 后端 - 掘金DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explici...
Fuel - 數(shù)據(jù)管道框架 - 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...
Annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk - 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...
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Annoy ...
PyBrain - Python 模塊化機(jī)器學(xué)習(xí)庫 - 后端 - 掘金For information how to install PyMVPA please see doc/source/installation.rst . Further information and...
Pymc - 貝葉斯統(tǒng)計模型 - 后端 - 掘金PyBrain -- the Python Machine Learning Library =============================================== INSTALLATION ------------ Quick a...
Orange3 - 開源機(jī)器學(xué)習(xí)和數(shù)據(jù)可視化工具 - 后端 - 掘金Introduction Version: 2.3.6 Authors: Chris Fonnesbeck Anand Patil David Huard John Salvatier Web site:https://github.com/pymc-...
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Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeli...
Neon - 一個基于 Python 的深度學(xué)習(xí)庫 - 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...
NuPIC: Numenta Platform for Intelligent Computing - 后端 - 掘金neon is Nervana ’s Python-based deep learning library. It provides ease of use while delivering the highest performance. Features ...
Chainer: A flexible framework of neural networks for deep learning - 后端 - 掘金Numenta Platform for Intelligent Computing The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platf...
The Shogun Machine Learning Toolbox - 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...
Statsmodels: statistical modeling and econometrics in Python - 后端 - 掘金Unified and efficient Machine Learning since 1999. Latest release: Cite Shogun: Develop branch build status: Buildbot: ...
Pylearn2: A machine learning research library - 后端 - 掘金About Statsmodels Statsmodels is a Python package that provides a complement to scipy for statistical computations including descr...
gensim: Topic modelling for humans - 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...
Caffe: 深度學(xué)習(xí)框架 - 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。...
TensorFlow — an Open Source Software Library for Machine Intelligence - 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...
Theano - Python 機(jī)器學(xué)習(xí)框架 - 后端 - 掘金TensorFlow? is an open source software library for numerical computation using data flow graphs....
scikit-learn: 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 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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摘要:首發(fā)于我的博客線程池進(jìn)程池網(wǎng)絡(luò)編程之同步異步阻塞非阻塞后端掘金本文為作者原創(chuàng),轉(zhuǎn)載請先與作者聯(lián)系。在了解的數(shù)據(jù)結(jié)構(gòu)時,容器可迭代對象迭代器使用進(jìn)行并發(fā)編程篇二掘金我們今天繼續(xù)深入學(xué)習(xí)。 Python 算法實戰(zhàn)系列之棧 - 后端 - 掘金原文出處: 安生??? 棧(stack)又稱之為堆棧是一個特殊的有序表,其插入和刪除操作都在棧頂進(jìn)行操作,并且按照先進(jìn)后出,后進(jìn)先出的規(guī)則進(jìn)行運作。 如...
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