mfzhang,github

deep_belief_nets

C++ implementation of the fast learning algorithm for deep belief nets from Hinton et al. (2006).

deep_demosaick

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

deep_hand_pose

Provides the source code for the deep learning components mentioned in "Depth-based hand pose estimation: methods, data, and challenges"

This project aims to predict price movement of a designated stock during a fixed time frame using neural network models. The motivation comes from the increasing usage of electronic-trading platform in day-to-day trading activities, whereas the automation of movement of mid-price and price spread crossing becomes an essential part of every-day trading mechanism. By characterising the existing features in given dataset and creating new statistical features such as moving averages, we applied feed forward neural network (FFNN), convolutional neural network (CNN) and recurrent neural network (RNN) on training dataset and tested on validation dataset. After a comparison and discussion of the accuracies and losses of all three models, we reach to a conclusion that FFNN model works the best, with a training accuracy at 0.531 and test accuracy at 0.5, as well as a training loss level at 1.038 and test loss level at 1.04.

deep_portfolio

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearn

Deep Learning in C++

deeplearning

Deep Learning (Python, C/C++, Java, Scala)

deeplearning-1

Machine Learning Systems

deeplearning-2

Stanford Deep Learning

deeplearning-3

Code for deep learning

deeplearning-4

An OpenCL implementation of Deep Belief Networks and Restricted Boltzmann Machines

deeplearning-5

Simple and Cutting-edge Deep Learning Library accelerated with GPU using C++ AMP

deeplearning-6

deeplearningdropout

MATLAB implementation of Deep Learning with dropout

deeplearningswf

mydeeplearning for geo2

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearntoolbox

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.