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add xgb and cxxnet

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antinucleon 2014-11-25 13:35:44 -07:00
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@ -117,6 +117,8 @@ For a list of free machine learning books available for download, go [here](http
* [sofia-ml](https://code.google.com/p/sofia-ml/) - Suite of fast incremental algorithms. * [sofia-ml](https://code.google.com/p/sofia-ml/) - Suite of fast incremental algorithms.
* [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox * [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox
* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING] * [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
* [CXXNET](https://github.com/antinucleon/cxxnet) - Yet another deep learning framework with less than 1000 lines core code
* [XGBoost](https://github.com/tqchen/xgboost) - A parallelized optimized general purpose gradient boosting library.
* [CUDA](https://code.google.com/p/cuda-convnet/) - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING] * [CUDA](https://code.google.com/p/cuda-convnet/) - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
* [Stan](http://mc-stan.org/) - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling * [Stan](http://mc-stan.org/) - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling
* [BanditLib](https://github.com/jkomiyama/banditlib) - A simple Multi-armed Bandit library. * [BanditLib](https://github.com/jkomiyama/banditlib) - A simple Multi-armed Bandit library.
@ -333,6 +335,7 @@ For a list of free machine learning books available for download, go [here](http
* [NMF](https://github.com/JuliaStats/NMF.jl) - A Julia package for non-negative matrix factorization * [NMF](https://github.com/JuliaStats/NMF.jl) - A Julia package for non-negative matrix factorization
* [ANN](https://github.com/EricChiang/ANN.jl) - Julia artificial neural networks * [ANN](https://github.com/EricChiang/ANN.jl) - Julia artificial neural networks
* [Mocha.jl](https://github.com/pluskid/Mocha.jl) - Deep Learning framework for Julia inspired by Caffe * [Mocha.jl](https://github.com/pluskid/Mocha.jl) - Deep Learning framework for Julia inspired by Caffe
* [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl) - eXtreme Gradient Boosting Package in Julia
<a name="julia-nlp" /> <a name="julia-nlp" />
#### Natural Language Processing #### Natural Language Processing