zhaoguanghe's Stars
daft-dev/daft
Render probabilistic graphical models using matplotlib
xflr6/graphviz
Simple Python interface for Graphviz
mroderick/PubSubJS
Dependency free publish/subscribe for JavaScript
helloworlde/grpc-java-sample
gRPC sample with Java, contains stubs, streaming, health check, retry and hedging policy, load balancer, name resolver, tls and channez, gateway; 包含 gRPC Java 的各项功能特性的最简单使用
umijs/umi-examples
examples for umi.js
umijs/start
User defined project configuration on the web page to generate UMI project scaffolding.
umijs/umi
A framework in react community ✨
ant-design/ant-design-landing
:mountain_bicyclist: Landing Pages of Ant Design System
liufree/xmindparser-java
xmind解析为json,对象,支持xmindzen,旧版xmind8
grpc-ecosystem/grpc-spring
Spring Boot starter module for gRPC framework.
zhaoguanghe/bughome
bughome
zhaoguanghe/SRCNN-Tensorflow2
Dataset :CIFAR10
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
EastWorld/wechat-app-mall
微信小程序商城,微信小程序微店
iamdarcy/hioshop-miniprogram
微信小程序商城,开源免费商用,海风小店
manicman1999/StyleGAN2-Tensorflow-2.0
StyleGAN 2 in Tensorflow 2.0
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
MingtaoGuo/DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlow
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
carpedm20/BEGAN-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
bourdakos1/CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
LynnHo/CycleGAN-Tensorflow-2
Reimplementation of CycleGAN
hardikbansal/CycleGAN
Tensorflow implementation of CycleGAN
scutan90/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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
zhewang95/swjtu-verif-code
基于神经网络的swjtu教务网登录验证码识别系统
tjwei/GANotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
xiazeyu/live2d-widget.js
Live2D on webpages with out-of-the-box experience.