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deep_biq

Deep learning way for blind image quality assessment

deep_learning

Stanford deep learning tutorial

deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data`` published at JSTAR

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.

deeplearntoolbox-1

deeplyfound

deepmask

Torch implementation of DeepMask and SharpMask

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepmath

Experiments towards neural network theorem proving

deepmemm

This is an implementation of a Deep Maximum Entropy Markov Model in PyTorch, that uses the Viterbi algorithm for inference to solve the task of Named Entity Recognition.

deepmkl

Deep Multiple Kernel Learning by Span Bound

deepnerualnetwork

Deep learning tools including RBM and DBM

deepnetsforeo

Deep networks for Earth Observation

deepneuralclassifier

Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset.

deepneuralnetwork

Deep Neural Network enable to perform deep learning (python)

deeposm

Train a deep learning net with OpenStreetMap features and satellite imagery.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deepsat

using CNN with Satellite images - dataset from LSU

deepsat-1

Sattelite data preparation for Caffe

deepsat-6-implementation

A from scratch implementation of a Convolutional Neural Network for classification on the DeepSat-6 Dataset which was available on GitHub

deepsat6

deepsatellitedata

List of labelled remote sensing datasets for use in deep learning.

deepschool.io

Deep Learning tutorials in jupyter notebooks.

deepshapedetector

Simple Shape Detector Using Deep Learning

deepslidingshape

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

deepsnakes

deepstats

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

deepsvdd

A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications.

deepsvmnet

Training deep support vector machine (SVM) networks using a novel back sign signal propagation (BSSP) learning algorithm

deeptransient

Caffe example for estimating transient attributes from a single image using a deep convolutional neural network.