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adversarialnetspapers

The classical papers and codes about generative adversarial nets

awesome-deep-learning-papers

The most cited deep learning papers

awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

caffe

This is forked from Caffe ( http://caffe.berkeleyvision.org/ ) . It is used for hyperspectral image classification.

courses

fast.ai Courses

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-photo-styletransfer-tf

Tensorflow (Python API) implementation of Deep Photo Style Transfer

deepl

deeplearningbook-chinese

Deep Learning Book Chinese Translation

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.

machine-learning-surveys

A curated list of Machine Learning Surveys, Tutorials and Books.

opencv

Open Source Computer Vision Library

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

sftgan

CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版