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Deep Learning 101 with PaddlePaddle (深度学习框架入门教程)

cv_interviews_q-a icon cv_interviews_q-a

CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

ganhacks icon ganhacks

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

ggsci icon ggsci

Scientific journal and sci-fi themed color palettes for ggplot2

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!(最近更新于10月1日,国庆节快乐 :tada:)

imageprocessing100wen icon imageprocessing100wen

「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

resources icon resources

A list of data sets and other resources for light fields for computer vision

san icon san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

srgan icon srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srgan-tensorflow icon srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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