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adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

ann2 icon ann2

Matlab 神经网络实验程序

arbitrary_style_transfer icon arbitrary_style_transfer

Fast Neural Style Transfer with Arbitrary Style using AdaIN Layer - Based on Huang et al. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

coredns icon coredns

CoreDNS is a DNS server that chains plugins

csgan icon csgan

Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)

csgm icon csgm

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

csnet icon csnet

This is the test demo for "Deep networks for compressed image sensing." (ICME2017) Author: Wuzhen Shi Email: [email protected]

d-amp_toolbox icon d-amp_toolbox

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-anpr icon deep-anpr

Using neural networks to build an automatic number plate recognition system

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