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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnetspapers

The classical paper list with code about generative adversarial nets

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

alae

[CVPR2020] Adversarial Latent Autoencoders

arduino-esp32

Arduino core for the ESP32

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

become-a-python-data-analyst

Become a python data analyst

bing-wallpaper

Bing每日壁纸，自动获取Bing的精美图片设置为壁纸，并且支持随机切换历史壁纸，查看壁纸故事

birl

BIRL: Benchmark on Image Registration methods with Landmark validations

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

cell_segmentation_and_tracking

For single cell segmentation and tracking.

channels

Gaussian process models for optimizing channelrhodopsin properties.

cogan

context-encoder

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

contrastive-unpaired-translation

PyTorch Implementation of CUT, Contrastive Learning for Unpaired Image-to-Image Translation, ECCV 2020

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convnetdraw

Draw multi-layer neural network in your browser

copytranslator

Foreign language reading and translation assistant based on copy and translate.

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cvpr2020-code

CVPR 2020 论文开源项目合集

cvpr2020-hattmatting

Attention-Guided Hierarchical Structure Aggregation for Image Matting(CVPR2020)

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cyclegan-1

Tensorflow implementation of CycleGANs

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

dc-wcnn

dctnet

deep-video-inpainting

Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)

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.