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moved Neon from C++ to Python
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@ -127,7 +127,6 @@ For a list of free machine learning books available for download, go [here](http
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* [Stan](http://mc-stan.org/) - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling
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* [BanditLib](https://github.com/jkomiyama/banditlib) - A simple Multi-armed Bandit library.
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* [Timbl](http://ilk.uvt.nl/timbl) - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.
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* [neon](https://github.com/NervanaSystems/neon) - Nervana's [high-performance](https://github.com/soumith/convnet-benchmarks) Python-based Deep Learning framework [DEEP LEARNING]
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<a name="cpp-nlp" />
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#### Natural Language Processing
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@ -643,6 +642,7 @@ on MNIST digits[DEEP LEARNING]
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* [deap](https://github.com/deap/deap) - Evolutionary algorithm framework.
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* [pydeep](https://github.com/andersbll/deeppy) - Deep Learning In Python
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* [mlxtend](https://github.com/rasbt/mlxtend) - A library consisting of useful tools for data science and machine learning tasks.
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* [neon](https://github.com/NervanaSystems/neon) - Nervana's [high-performance](https://github.com/soumith/convnet-benchmarks) Python-based Deep Learning framework [DEEP LEARNING]
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<a name="python-data-analysis" />
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#### Data Analysis / Data Visualization
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