Deep Learning源代码收集-持续更新…
收集了一些Deep Learning的源代码。主要是Matlab和C++的,当然也有python的。放在这里,后续遇到新的会持续更新。下表没有的也欢迎大家提供,以便大家使用和交流。谢谢。
最近一次更新:2013-9-22 Theano code from: http:///
Deep Learning Tutorial notes and code https://github.com/lisa-lab/DeepLearningTutorials code from: lisa-lab
A Matlab toolbox for Deep Learning https://github.com/rasmusbergpalm/DeepLearnToolbox code from: RasmusBerg Palm
deepmat Matlab Code for Restricted/Deep BoltzmannMachines and Autoencoder https://github.com/kyunghyuncho/deepmat code from: KyungHyun Cho http://users.ics./kcho/
Training a deep autoencoder or a classifieron MNIST digits http://www.cs./~hinton/MatlabForSciencePaper.html code from: Ruslan Salakhutdinov and GeoffHinton
CNN - Convolutional neural network class http://www./matlabcentral/fileexchange/24291 Code from: matlab
Neural Network for Recognition ofHandwritten Digits (CNN) http://www./Articles/16650/Neural-Network-for-Recognition-of-Handwritten-Digi
cuda-convnet A fast C++/CUDA implementation ofconvolutional neural networks http://code.google.com/p/cuda-convnet/
matrbm a small library that can train RestrictedBoltzmann Machines, and also Deep Belief Networks of stacked RBM's. http://code.google.com/p/matrbm/ code from: Andrej Karpathy
Exercise from UFLDL Tutorial: http://deeplearning./wiki/index.php/UFLDL_Tutorial and tornadomeet’s bolg: http://www.cnblogs.com/tornadomeet/tag/Deep%20Learning/ and https://github.com/dkyang/UFLDL-Tutorial-Exercise
Conditional Restricted Boltzmann Machines http://www.cs./~gwtaylor/publications/nips2006mhmublv/code.html from Graham Taylor http://www.cs./~gwtaylor/
Factored Conditional Restricted BoltzmannMachines http://www.cs./~gwtaylor/publications/icml2009/code/index.html from Graham Taylor http://www.cs./~gwtaylor/
Marginalized Stacked Denoising Autoencodersfor Domain Adaptation http://www1.cse./~mchen/code/mSDA.tar code from: http://www.cse./~kilian/code/code.html
Tiled Convolutional Neural Networks http://cs./~quocle/TCNNweb/pretraining.tar.gz http://cs./~pangwei/projects.html
tiny-cnn: A C++11 implementation of convolutionalneural networks https://github.com/nyanp/tiny-cnn
myCNN https://github.com/aurofable/18551_Project/tree/master/server/2009-09-30-14-33-myCNN-0.07
Adaptive Deconvolutional Network Toolbox http://www./software/DeconvNetToolbox2/DeconvNetToolbox.zip
Deep Learning手写字符识别C++代码 http://download.csdn.net/detail/lucky_greenegg/5413211 from: http://blog.csdn.net/lucky_greenegg/article/details/8949578
convolutionalRBM.m A MATLAB / MEX / CUDA-MEX implementation ofConvolutional Restricted Boltzmann Machines. https://github.com/qipeng/convolutionalRBM.m from: http:///software/convolutional-rbm.html
rbm-mnist C++ 11 implementation of Geoff Hinton'sDeep Learning matlab code https://github.com/jdeng/rbm-mnist
Learning Deep Boltzmann Machines http://web./~rsalakhu/www/code_DBM/code_DBM.tar http://web./~rsalakhu/www/DBM.html Code provided by Ruslan Salakhutdinov
Efficient sparse coding algorithms http://web.eecs./~honglak/softwares/fast_sc.tgz http://web.eecs./~honglak/softwares/nips06-sparsecoding.htm
Linear Spatial Pyramid Matching UsingSparse Coding for Image Classification http://www.ifp./~jyang29/codes/CVPR09-ScSPM.rar http://www.ifp./~jyang29/ScSPM.htm
SPAMS (SPArse Modeling Software) is anoptimization toolbox for solving various sparse estimation problems.
sparsenet Sparse coding simulation software http://redwood./bruno/sparsenet/
fast dropout training https://github.com/sidaw/fastdropout
Deep Learning of Invariant Features viaSimulated Fixations in Video http://ai./~wzou/deepslow_release.tar.gz
Sparse filtering http://cs./~jngiam/papers/NgiamKohChenBhaskarNg2011_Supplementary.pdf
k-means http://www./~acoates/papers/kmeans_demo.tgz
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来自: 瓜子的成长 > 《Deep Learning》