Merge pull request #227 from opoirion/add-igraph
add igraph lib for c++, R and python
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@ -134,6 +134,7 @@ For a list of free machine learning books available for download, go [here](http
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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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* [Disrtibuted Machine learning Tool Kit (DMTK)](http://www.dmtk.io/) - A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.
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* [igraph](http://igraph.org/c/) - General purpose graph library
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<a name="cpp-nlp" />
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#### Natural Language Processing
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@ -711,6 +712,7 @@ on MNIST digits[DEEP LEARNING]
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* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
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* [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
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* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
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* [igraph](http://igraph.org/python/) - binding to igraph library - General purpose graph library
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* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [Open Mining](https://github.com/avelino/mining) - Business Intelligence (BI) in Python (Pandas web interface)
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* [PyMC](https://github.com/pymc-devs/pymc) - Markov Chain Monte Carlo sampling toolkit.
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@ -927,7 +929,7 @@ on MNIST digits[DEEP LEARNING]
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* [varSelRF](http://cran.r-project.org/web/packages/varSelRF/index.html) - varSelRF: Variable selection using random forests
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* [XGBoost.R](https://github.com/tqchen/xgboost/tree/master/R-package) - R binding for eXtreme Gradient Boosting (Tree) Library
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* [Optunity](http://docs.optunity.net) - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly to R.
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* [igraph](http://igraph.org/r/) - binding to igraph library - General purpose graph library
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<a name="r-data-analysis" />
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#### Data Analysis / Data Visualization
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@ -978,7 +980,7 @@ on MNIST digits[DEEP LEARNING]
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* [BrainCore](https://github.com/aleph7/BrainCore) - The iOS and OS X neural network framework
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* [swix](https://github.com/scottsievert/swix) - A bare bones library that
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includes a general matrix language and wraps some OpenCV for iOS development.
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* [DeepLearningKit](http://deeplearningkit.org/) an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS.
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* [DeepLearningKit](http://deeplearningkit.org/) an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS.
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It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.
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<a name="credits" />
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