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Joseph Misiti 2014-07-16 00:12:58 -04:00
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#### General-Purpose Machine Learning
* [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers)
* [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) - Book/iPython notebooks on Probabilistic Programming in Python
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
* [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy.
* [BigML](https://bigml.com) - A library that contacts external servers.
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* [PyBrain](https://github.com/pybrain/pybrain) - Another Python Machine Learning Library.
* [Crab](https://github.com/muricoca/crab) - A flexible, fast recommender engine.
* [python-recsys](https://github.com/ocelma/python-recsys) - A Python library for implementing a Recommender System.
* [BayesPy](https://github.com/maxsklar/BayesPy)
* [thinking bayes](https://github.com/AllenDowney/ThinkBayes)
* [thinking bayes](https://github.com/AllenDowney/ThinkBayes) - Book on Bayesian Analysis
* [Restricted Boltzmann Machines](https://github.com/echen/restricted-boltzmann-machines) -Restricted Boltzmann Machines in Python. [DEEP LEARNING]
* [Bold](https://github.com/pprett/bolt) - Bolt Online Learning Toolbox
#### Data Analysis / Data Visualization
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* [Diffusion Segmentation](https://github.com/Wavelets/diffusion-segmentation) - A collection of image segmentation algorithms based on diffusion methods
* [Scipy Tutorials](https://github.com/Wavelets/scipy-tutorials) - SciPy tutorials. This is outdated, check out scipy-lecture-notes
* [Crab](https://github.com/marcelcaraciolo/crab) - A recommendation engine library for Python
* [BayesPy](https://github.com/maxsklar/BayesPy) - Bayesian Inference Tools in Python
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