Added Haskell General-Purpose Machine Learning

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Robert Zaremba 2014-07-28 22:31:30 +02:00
parent ea9c42d7e3
commit 3eee8b312a
1 changed files with 13 additions and 2 deletions

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@ -27,6 +27,8 @@ For a list of free machine learning books available for download, go [here](http
- [Natural Language Processing](#go-nlp)
- [General-Purpose Machine Learning](#go-general-purpose)
- [Data Analysis / Data Visualization](#go-data-analysis)
- [Haskell](#haskell)
- [General-Purpose Machine Learning](#haskell-general-purpose)
- [Java](#java)
- [Natural Language Processing](#java-nlp)
- [General-Purpose Machine Learning](#java-general-purpose)
@ -100,7 +102,7 @@ For a list of free machine learning books available for download, go [here](http
* [OpenCV](http://opencv.org) - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
* [DLib](http://dlib.net/imaging.html) - DLib has C++ and Python interfaces for face detection and training general object detectors.
* [EBLearn](http://eblearn.sourceforge.net/) - Eblearn is an object-oriented C++ library that implements various machine learning models
*
*
<a name="cpp-general-purpose" />
#### General-Purpose Machine Learning
@ -186,6 +188,16 @@ For a list of free machine learning books available for download, go [here](http
* [go-graph](https://github.com/StepLg/go-graph) - Graph library for Go/golang language.
* [SVGo](http://www.svgopen.org/2011/papers/34-SVGo_a_Go_Library_for_SVG_generation/) - The Go Language library for SVG generation
<a name="haskell" />
## Haskell
<a name="haskell-general-purpose" />
#### General-Purpose Machine Learning
* [hnn](http://www.haskell.org/haskellwiki/HNN) - Haskell Neural Network library.
* [HLearn](https://github.com/mikeizbicki/HLearn) - a suite of libraries for interpreting machine learning models according to their algebraic structure.
<a name="java" />
## Java
@ -804,4 +816,3 @@ Angle Regression
* Some of the python libraries were cut-and-pasted from [vinta](https://github.com/vinta/awesome-python)
* The few go reference I found where pulled from [this page](https://code.google.com/p/go-wiki/wiki/Projects#Machine_Learning)