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dive-into-dl-tensorflow2.0 icon dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意

dl_fusion icon dl_fusion

Hyperspectral Image Reconstruction Employing TV-loss and Smooth L1-loss in SSR-NET.

dpsr icon dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

dpt icon dpt

DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)

eanet icon eanet

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

ebgan icon ebgan

A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.

enlightengan icon enlightengan

[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision"

espcn-tensorflow icon espcn-tensorflow

An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow

face2face-demo icon face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

fagan icon fagan

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fate icon fate

An Industrial Grade Federated Learning Framework

ffa-net icon ffa-net

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

free icon free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

fsrnet icon fsrnet

Demo code for our CVPR'18 paper "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (SPOTLIGHT Presentation)

ganhacks icon ganhacks

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

gdl_code icon gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

gold-miner icon gold-miner

🥇掘金翻译计划,可能是世界最大最好的英译中技术社区,最懂读者和译者的翻译平台:

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