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@ -126,7 +126,10 @@ If you want to contribute to this list, send me a pull request or contact me [@j
#### Natural Language Processing
* TODO
* [ScalaNLP](http://www.scalanlp.org/) - ScalaNLP is a suite of machine learning and numerical computing libraries.
* [Breeze](https://github.com/scalanlp/breeze) - Breeze is a numerical processing library for Scala.
* [Chalk](https://github.com/scalanlp/chalk) - Chalk is a natural language processing library.
* [FACTORIE](https://github.com/factorie/factorie) - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
#### Data Analysis / Data Visualization
@ -137,6 +140,7 @@ If you want to contribute to this list, send me a pull request or contact me [@j
#### General-Purpose Machine Learning
* [Conjecture](https://github.com/etsy/Conjecture)
## Java
#### Natural Language Processing
@ -170,15 +174,21 @@ If you want to contribute to this list, send me a pull request or contact me [@j
#### Natural Language Processing
* TODO
* [go-porterstemmer](https://github.com/reiver/go-porterstemmer)
* [paicehusk](https://github.com/Rookii/paicehusk)
* [snowball](https://bitbucket.org/tebeka/snowball)
#### General-Purpose Machine Learning
* [Go Learn](https://github.com/sjwhitworth/golearn)
* [go-pr](https://github.com/daviddengcn/go-pr)
* [bayesian](https://github.com/jbrukh/bayesian)
* [go-galib](https://github.com/thoj/go-galib)
#### Data Analysis / Data Visualization
* TODO
* [go-graph](https://github.com/StepLg/go-graph)
* [SVGo](http://www.svgopen.org/2011/papers/34-SVGo_a_Go_Library_for_SVG_generation/)
## Matlab
@ -256,5 +266,5 @@ on MNIST digits](http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html) [
## Credits
* 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)