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Nathan Epstein 2015-11-15 16:08:47 -05:00
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<a name="java-nlp" />
#### Natural Language Processing
* [Cortical.io](http://cortical.io) - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
* [Cortical.io](http://cortical.io) - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
* [CoreNLP](http://nlp.stanford.edu/software/corenlp.shtml) - Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words
* [Stanford Parser](http://nlp.stanford.edu/software/lex-parser.shtml) - A natural language parser is a program that works out the grammatical structure of sentences
* [Stanford POS Tagger](http://nlp.stanford.edu/software/tagger.shtml) - A Part-Of-Speech Tagger (POS Tagger
@ -297,7 +297,7 @@ For a list of free machine learning books available for download, go [here](http
* [Spark](https://github.com/apache/spark) - Spark is a fast and general engine for large-scale data processing.
* [Impala](https://github.com/cloudera/impala) - Real-time Query for Hadoop
* [DataMelt](http://jwork.org/dmelt/) - Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.
* [Dr. Michael Thomas Flanagan's Java Scientific Library](http://www.ee.ucl.ac.uk/~mflanaga/java/)
* [Dr. Michael Thomas Flanagan's Java Scientific Library](http://www.ee.ucl.ac.uk/~mflanaga/java/)
<a name="java-deep-learning" />
#### Deep Learning
@ -335,7 +335,7 @@ For a list of free machine learning books available for download, go [here](http
* [science.js](https://github.com/jasondavies/science.js/) - Scientific and statistical computing in JavaScript.
* [Z3d](https://github.com/NathanEpstein/Z3d) - Easily make interactive 3d plots built on Three.js
* [Sigma.js](http://sigmajs.org/) - JavaScript library dedicated to graph drawing.
* [C3.js](http://c3js.org/)- customizable library based on D3.js for easy chart drawing.
* [C3.js](http://c3js.org/)- customizable library based on D3.js for easy chart drawing.
* [ZingChart](http://www.zingchart.com/)- library written on Vanilla JS for big data visualization.
* [cheminfo](http://www.cheminfo.org/) - Platform for data visualization and analysis, using the [visualizer](https://github.com/npellet/visualizer) project.
@ -364,6 +364,7 @@ For a list of free machine learning books available for download, go [here](http
* [shaman](https://github.com/dambalah/shaman) - node.js library with support for both simple and multiple linear regression.
* [ml.js](https://github.com/mljs/ml) - Machine learning and numerical analysis tools for Node.js and the Browser!
* [Pavlov.js](https://github.com/NathanEpstein/Pavlov.js) - Reinforcement learning using Markov Decision Processes
<a name="javascript-misc" />
#### Misc
@ -608,7 +609,7 @@ on MNIST digits[DEEP LEARNING]
<a name="python-cv" />
#### Computer Vision
* [Scikit-Image](https://github.com/scikit-image/scikit-image) - A collection of algorithms for image processing in Python.
* [Scikit-Image](https://github.com/scikit-image/scikit-image) - A collection of algorithms for image processing in Python.
* [SimpleCV](http://simplecv.org/) - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
* [Vigranumpy](https://github.com/ukoethe/vigra) - Python bindings for the VIGRA C++ computer vision library.
@ -954,7 +955,7 @@ on MNIST digits[DEEP LEARNING]
<a name="swift-general-purpose" />
#### General-Purpose Machine Learning
* [BrainCore](https://github.com/aleph7/BrainCore) - The iOS and OS X neural network framework
* [BrainCore](https://github.com/aleph7/BrainCore) - The iOS and OS X neural network framework
* [swix](https://github.com/scottsievert/swix) - A bare bones library that
includes a general matrix language and wraps some OpenCV for iOS development.