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A curated list of awesome Machine Learning frameworks, libraries and software.
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Joseph Misiti 378733310b credits
2014-07-15 15:20:31 -04:00
README.md credits 2014-07-15 15:20:31 -04:00

README.md

A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.

Python

Natural Language Processing

Libraries for working with human languages.

  • NLTK - A leading platform for building Python programs to work with human language data.
  • Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
  • TextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
  • jieba - Chinese Words Segementation Utilities.
  • SnowNLP - A library for processing Chinese text.
  • loso - Another Chinese segmentation library.
  • genius - A Chinese segment base on Conditional Random Field.

General-Purpose Machine Learning

Libraries for Machine Learning.

  • scikit-learn - A Python module for machine learning built on top of SciPy.
  • pattern - Web mining module for Python.
  • NuPIC - Numenta Platform for Intelligent Computing.
  • Pylearn2 - A Machine Learning library based on Theano.
  • hebel - GPU-Accelerated Deep Learning Library in Python.
  • gensim - Topic Modelling for Humans.
  • PyBrain - Another Python Machine Learning Library.
  • Crab - A flexible, fast recommender engine.
  • python-recsys - A Python library for implementing a Recommender System.

Data Analysis / Data Visualization

  • SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
  • NumPy - A fundamental package for scientific computing with Python.
  • Numba - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
  • NetworkX - A high-productivity software for complex networks.
  • Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools.
  • Open Mining - Business Intelligence (BI) in Python (Pandas web interface)
  • PyMC - Markov Chain Monte Carlo sampling toolkit.
  • zipline - A Pythonic algorithmic trading library.
  • PyDy - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
  • SymPy - A Python library for symbolic mathematics.
  • statsmodels - Statistical modeling and econometrics in Python.
  • astropy - A community Python library for Astronomy.
  • matplotlib - A Python 2D plotting library.
  • bokeh - Interactive Web Plotting for Python.
  • plotly - Collaborative web plotting for Python and matplotlib.
  • vincent - A Python to Vega translator.
  • d3py - A plottling library for Python, based on D3.js.
  • ggplot - Same API as ggplot2 for R.
  • Kartograph.py - Rendering beautiful SVG maps in Python.
  • pygal - A Python SVG Charts Creator.

Ruby

Scala

Java

Go

R

Julia

Credits

  • Some of the python libraries were cut-and-pasted from vinta