added more python frameworks
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README.md
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@ -14,6 +14,7 @@ If you want to contribute to this list (please do), send me a pull request or co
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* [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
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* [loso](https://github.com/victorlin/loso) - Another Chinese segmentation library.
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* [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field.
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* [nut](https://github.com/pprett/nut) - Natural language Understanding Toolkit
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#### General-Purpose Machine Learning
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* [python-recsys](https://github.com/ocelma/python-recsys) - A Python library for implementing a Recommender System.
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* [thinking bayes](https://github.com/AllenDowney/ThinkBayes) - Book on Bayesian Analysis
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* [Restricted Boltzmann Machines](https://github.com/echen/restricted-boltzmann-machines) -Restricted Boltzmann Machines in Python. [DEEP LEARNING]
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* [Bold](https://github.com/pprett/bolt) - Bolt Online Learning Toolbox
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* [Bolt](https://github.com/pprett/bolt) - Bolt Online Learning Toolbox
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* [CoverTree](https://github.com/patvarilly/CoverTree) - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
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#### Data Analysis / Data Visualization
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* [Scipy Tutorials](https://github.com/Wavelets/scipy-tutorials) - SciPy tutorials. This is outdated, check out scipy-lecture-notes
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* [Crab](https://github.com/marcelcaraciolo/crab) - A recommendation engine library for Python
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* [BayesPy](https://github.com/maxsklar/BayesPy) - Bayesian Inference Tools in Python
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* [scikit-learn tutorials](https://github.com/GaelVaroquaux/scikit-learn-tutorial) - Series of notebooks for learning scikit-learn
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* [sentiment-analyzer](https://github.com/madhusudancs/sentiment-analyzer) - Tweets Sentiment Analyzer
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* [group-lasso](https://github.com/fabianp/group_lasso) - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model
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#### Kaggle Competition Source Code
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* [wiki challange](https://github.com/hammer/wikichallenge) - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle
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* [kaggle insults](https://github.com/amueller/kaggle_insults) - Kaggle Submission for "Detecting Insults in Social Commentary"
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## C++
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#### Compute Vision
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