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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

caffe

Caffe: a fast open framework for deep learning.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

drqa

Reading Wikipedia to Answer Open-Domain Questions

enas-tensorflow

Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user

gan-sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

improved_wgan_training

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

kvae

Kalman Variational Auto-Encoder

learning-to-see-in-the-dark

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nlp-sentiment

Various NLP methods (in python) to perform sentiment analysis

pacman-ng

Automatically exported from code.google.com/p/pacman-ng

passgan

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

pokemon_gan

project_gan

pytorch-learning-to-see-in-the-dark

Learning to See in the Dark using pytorch 0.4.0

pytorch-sepconv

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

scrapping-web

Web Scraping in Python

spring-petclinic

A sample Spring-based application

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

stackgan

variational-autoencoder

generate MNIST using a Variational Autoencoder

webtoggle_led

control LED with button click on webpage