From 91a6e7c0a315a9354a2d1b28955b38b3a6a4b286 Mon Sep 17 00:00:00 2001 From: Joseph Misiti Date: Tue, 15 Jul 2014 15:18:51 -0400 Subject: [PATCH] cut and pasted --- README.md | 42 +++++++++++++++++++++++++++++++++++++++++- 1 file changed, 41 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index eb047b0..5474dfe 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ A curated list of awesome machine learning frameworks, libraries and software (b ## Python -### Natural Language Processing +#### Natural Language Processing *Libraries for working with human languages.* @@ -15,6 +15,46 @@ A curated list of awesome machine learning frameworks, libraries and software (b * [loso](https://github.com/victorlin/loso) - Another Chinese segmentation library. * [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field. +#### General-Purpose Machine Learning + +*Libraries for Machine Learning.* + +* [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy. +* [pattern](https://github.com/clips/pattern) - Web mining module for Python. +* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing. +* [Pylearn2](https://github.com/lisa-lab/pylearn2) - A Machine Learning library based on [Theano](https://github.com/Theano/Theano). +* [hebel](https://github.com/hannes-brt/hebel) - GPU-Accelerated Deep Learning Library in Python. +* [gensim](https://github.com/piskvorky/gensim) - Topic Modelling for Humans. +* [PyBrain](https://github.com/pybrain/pybrain) - Another Python Machine Learning Library. +* [Crab](https://github.com/muricoca/crab) - A flexible, fast recommender engine. +* [python-recsys](https://github.com/ocelma/python-recsys) - A Python library for implementing a Recommender System. + +#### Data Analysis / Data Visualization + +* [SciPy](http://www.scipy.org/) - A Python-based ecosystem of open-source software for mathematics, science, and engineering. +* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python. +* [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy. +* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks. +* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools. +* [Open Mining](https://github.com/avelino/mining) - Business Intelligence (BI) in Python (Pandas web interface) +* [PyMC](https://github.com/pymc-devs/pymc) - Markov Chain Monte Carlo sampling toolkit. +* [zipline](https://github.com/quantopian/zipline) - A Pythonic algorithmic trading library. +* [PyDy](https://pydy.org/) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib. +* [SymPy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics. +* [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python. +* [astropy](http://www.astropy.org/) - A community Python library for Astronomy. +* [matplotlib](http://matplotlib.org/) - A Python 2D plotting library. +* [bokeh](https://github.com/ContinuumIO/bokeh) - Interactive Web Plotting for Python. +* [plotly](https://plot.ly/python) - Collaborative web plotting for Python and matplotlib. +* [vincent](https://github.com/wrobstory/vincent) - A Python to Vega translator. +* [d3py](https://github.com/mikedewar/d3py) - A plottling library for Python, based on [D3.js](http://d3js.org/). +* [ggplot](https://github.com/yhat/ggplot) - Same API as ggplot2 for R. +* [Kartograph.py](https://github.com/kartograph/kartograph.py) - Rendering beautiful SVG maps in Python. +* [pygal](http://pygal.org/) - A Python SVG Charts Creator. + + + + ## Ruby