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deep-learning-cheatsheet

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-resources

Various links to great content for Machine Learning :wrench: :bookmark:

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-unsupervised-domain-adaptation

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

deep-visualization-toolbox

DeepVis Toolbox

deep_bilateral_network

PyTorch implementation of https://github.com/google/hdrnet for black-box image transformation

deep_complex_networks

Implementation related to the Deep Complex Networks

deepaugment

Discover augmentation strategies tailored for your dataset

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepclustering

Methods and Implements of Deep Clustering

deepclustering-1

A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning4j

Архитектура [deeplearning4j] фреймворк для глубокого машинного обучения

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningframeworks

Demo of running NNs across different frameworks

deeplearningimplementations

Implementation of recent Deep Learning papers

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.

deepmark

THE Deep Learning Benchmarks

deeponeclass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

deepst

Deep Learning for Spatio-Temporal Data

deepunrollnet

Deep Shutter Unrolling Network

deformable-convnets

Deformable Convolutional Networks

delaunator

2D Delaunay Triangulation in C++ with Python wrapper.

delaunator-1

An incredibly fast JavaScript library for Delaunay triangulation of 2D points

delving-deep-into-gans

Generative Adversarial Networks (GANs) resources sorted by citations

demo_ssal_sdp

Demo for the proposed SSAL-SDP method, i.e., superpixel-based semisupervised active learning (SSAL) method with the density peak (DP) augmentation, for the hyperspectral image classification.

densenas

Densely Connected Search Space for More Flexible Neural Architecture Search