josephmisiti/awesome-machine-learning
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adding pavlov.js and datakit

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@ -244,7 +244,7 @@ For a list of free machine learning books available for download, go [here](http
<a name="java-nlp" /> <a name="java-nlp" />
#### Natural Language Processing #### 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 * [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 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 * [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. * [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 * [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. * [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" /> <a name="java-deep-learning" />
#### Deep Learning #### Deep Learning
@ -331,10 +331,11 @@ For a list of free machine learning books available for download, go [here](http
* [amCharts](http://www.amcharts.com/) * [amCharts](http://www.amcharts.com/)
* [D3xter](https://github.com/NathanEpstein/D3xter) - Straight forward plotting built on D3 * [D3xter](https://github.com/NathanEpstein/D3xter) - Straight forward plotting built on D3
* [statkit](https://github.com/rigtorp/statkit) - Statistics kit for JavaScript * [statkit](https://github.com/rigtorp/statkit) - Statistics kit for JavaScript
* [datakit](https://github.com/nathanepstein/datakit) - A lightweight framework for data analysis in JavaScript
* [science.js](https://github.com/jasondavies/science.js/) - Scientific and statistical computing in JavaScript. * [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 * [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. * [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. * [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. * [cheminfo](http://www.cheminfo.org/) - Platform for data visualization and analysis, using the [visualizer](https://github.com/npellet/visualizer) project.
@ -362,7 +363,7 @@ For a list of free machine learning books available for download, go [here](http
* [kalman](https://github.com/itamarwe/kalman) - Kalman filter for Javascript. * [kalman](https://github.com/itamarwe/kalman) - Kalman filter for Javascript.
* [shaman](https://github.com/dambalah/shaman) - node.js library with support for both simple and multiple linear regression. * [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! * [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" /> <a name="javascript-misc" />
#### Misc #### Misc
@ -607,7 +608,7 @@ on MNIST digits[DEEP LEARNING]
<a name="python-cv" /> <a name="python-cv" />
#### Computer Vision #### 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. * [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. * [Vigranumpy](https://github.com/ukoethe/vigra) - Python bindings for the VIGRA C++ computer vision library.
@ -953,7 +954,7 @@ on MNIST digits[DEEP LEARNING]
<a name="swift-general-purpose" /> <a name="swift-general-purpose" />
#### General-Purpose Machine Learning #### 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 * [swix](https://github.com/scottsievert/swix) - A bare bones library that
includes a general matrix language and wraps some OpenCV for iOS development. includes a general matrix language and wraps some OpenCV for iOS development.