josephmisiti/awesome-machine-learning
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Joseph Misiti 2014-07-27 21:46:57 -04:00
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@ -99,6 +99,8 @@ 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. * [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. * [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" /> <a name="cpp-general-purpose" />
#### General-Purpose Machine Learning #### General-Purpose Machine Learning
@ -222,6 +224,8 @@ For a list of free machine learning books available for download, go [here](http
* [H2O](https://github.com/0xdata/h2o) - ML engine that supports distributed learning on data stored in HDFS. * [H2O](https://github.com/0xdata/h2o) - ML engine that supports distributed learning on data stored in HDFS.
* [WalnutiQ](https://github.com/WalnutiQ/WalnutiQ) - object oriented model of the human brain * [WalnutiQ](https://github.com/WalnutiQ/WalnutiQ) - object oriented model of the human brain
* [ELKI](http://elki.dbs.ifi.lmu.de/) - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.) * [ELKI](http://elki.dbs.ifi.lmu.de/) - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
* [Neuroph](http://neuroph.sourceforge.net/) - Neuroph is lightweight Java neural network framework
* [java-deeplearning](https://github.com/agibsonccc/java-deeplearning) - Distributed Deep Learning Platform for Java, Clojure,Scala
<a name="java-data-analysis" /> <a name="java-data-analysis" />
#### Data Analysis / Data Visualization #### Data Analysis / Data Visualization
@ -517,6 +521,7 @@ on MNIST digits[DEEP LEARNING]
* [pyhsmm](https://github.com/mattjj/pyhsmm) - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations. * [pyhsmm](https://github.com/mattjj/pyhsmm) - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
* [mrjob](https://pythonhosted.org/mrjob/) - A library to let Python program run on Hadoop. * [mrjob](https://pythonhosted.org/mrjob/) - A library to let Python program run on Hadoop.
* [SKLL](https://github.com/EducationalTestingService/skll) - A wrapper around scikit-learn that makes it simpler to conduct experiments. * [SKLL](https://github.com/EducationalTestingService/skll) - A wrapper around scikit-learn that makes it simpler to conduct experiments.
* [neurolab](https://code.google.com/p/neurolab/) - https://code.google.com/p/neurolab/
<a name="python-data-analysis" /> <a name="python-data-analysis" />
#### Data Analysis / Data Visualization #### Data Analysis / Data Visualization