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deep_complex_networks

Implementation related to the Deep Complex Networks

deepst

Deep Learning for Spatio-Temporal Data

digits

Deep Learning GPU Training System

dilatedrnn

Tensorflow implementation for DilatedRNN

disan

Code of Directional Self-Attention Network (DiSAN)

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

embedding_zero-shot-learning

facenet

Face recognition using Tensorflow

foreverlove

futuredata-ccf2016

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ghd

Implementation of Generalized Hamming Network

hawk_latest_caffe

forked from bvlc/caffe

hawklucky.github.io

hbrnn

hierarchical-neural-autoencoder

hko-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

ic-stn

Inverse Compositional Spatial Transformer Networks (CVPR 2017)

iclr2017mcnet

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

karen-simonyan

Automatically exported from code.google.com/p/karen-simonyan

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-adversarial

Keras Generative Adversarial Networks

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-gan

Generative Adversarial Network with Keras (Theano backend)

keras-gat

Keras implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

keras-neural-tensor-layer

Neural Tensor Network Implementation as a keras layer