guanjihuan/GitHub_collection_awesome-machine-learning
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge pull request #227 from opoirion/add-igraph

Browse Source 
add igraph lib for c++, R and python
This commit is contained in:
Joseph Misiti 2016-01-04 17:55:36 -05:00
commit 8f31517f3a
1 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -134,6 +134,7 @@ For a list of free machine learning books available for download, go [here](http
* [BanditLib](https://github.com/jkomiyama/banditlib) - A simple Multi-armed Bandit library.
* [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.
* [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.
* [igraph](http://igraph.org/c/) - General purpose graph library
<a name="cpp-nlp" />
#### Natural Language Processing
@ -711,6 +712,7 @@ on MNIST digits[DEEP LEARNING]
* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
* [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
* [igraph](http://igraph.org/python/) - binding to igraph library - General purpose graph library
* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
* [Open Mining](https://github.com/avelino/mining) - Business Intelligence (BI) in Python (Pandas web interface)
* [PyMC](https://github.com/pymc-devs/pymc) - Markov Chain Monte Carlo sampling toolkit.
@ -927,7 +929,7 @@ on MNIST digits[DEEP LEARNING]
* [varSelRF](http://cran.r-project.org/web/packages/varSelRF/index.html) - varSelRF: Variable selection using random forests
* [XGBoost.R](https://github.com/tqchen/xgboost/tree/master/R-package) - R binding for eXtreme Gradient Boosting (Tree) Library
* [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.
* [igraph](http://igraph.org/r/) - binding to igraph library - General purpose graph library
<a name="r-data-analysis" />
#### Data Analysis / Data Visualization
@ -978,7 +980,7 @@ on MNIST digits[DEEP LEARNING]
* [BrainCore](https://github.com/aleph7/BrainCore) - The iOS and OS X neural network framework
* [swix](https://github.com/scottsievert/swix) - A bare bones library that
includes a general matrix language and wraps some OpenCV for iOS development.
* [DeepLearningKit](http://deeplearningkit.org/) an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS.
* [DeepLearningKit](http://deeplearningkit.org/) an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS.
It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.
<a name="credits" />