hestendelin/MyHadoop
Hadoop的封装及简化使用,使用Hadoop更易于部署使用。
Discovered public repositories for hestendelin in the GitHub catalog.
Hadoop的封装及简化使用,使用Hadoop更易于部署使用。
Convolutional neural network exercise from http://ufldl.stanford.edu/
This is a matlab-code implementation of convolutional neural network
MatConvNet: CNNs for MATLAB
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
Sparse Restricted Boltzmann Machines
My attempts to create a functioning Restricted Boltzmann Machine. End goal: design an RBM for implementation as a photonic circuit at Mabuchi Lab, Stanford.
Restricted Boltzmann Machines in R
Implementation of a Restricted Boltzmann Machine for Classification purpose.
A Restricted Boltzmann Machine with a DPP Penalty over the hidden units
Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.
Pain-free Restricted Boltzmann Machines
A Ruby port of Ed Chen's Python RBM implementation.
My restricted boltzmann machine demo
Restricted Boltzmann Machine and Deep Belief Network Implementation. Uses MNIST dataset as a demo.
Modular Restricted Boltzmann Machine (RBM) implementation using Theano
restricted boltzmann machines
Movie recommendations and MOAR in MapReduce and Scalding
Solution to Facebook's link prediction contest on Kaggle.
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Quick introduction to ggplot2 (no knowledge of R assumed)
Matlab Environment for Deep Architecture Learning
Deep Learning (Python, C/C++, Java, Scala)
Deep Learning and Applications--Demo
Public repository.
Distributed Structured Data Store, NoSQL, Bigtable 분산데이터베이스.
All 8 mps for cs241 system programming in Summer 2012, University of Illinois. I got almost full scores in all mps.
Restricted Boltzmann Machines in Python.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Deep SpatioTemporal Inference Network (DeSTIN) for vision processing
Public repository.
MATLAB implementation of our llumination estimation technique from a single image (ICCV'09 and IJCV'12 papers)
A MATLAB / MEX / CUDA-MEX implementation of Convolutional Restricted Boltzmann Machines.
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
《R语言编程艺术》翻译项目文件
Pattern recognition and machine learning toolbox
Implementation of some deep learning algorithms.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Deep Learning Tutorial notes and code. See the wiki for more info.