lmnxyz3's Stars
sorenduan/awesome-java-books
Java开发者技术书籍大全 - Java入门书籍,Java基础及进阶书籍,框架与中间件,架构设计,设计模式,数学与算法,JVM周边语言,项目管理&领导力&流程,职业素养与个人成长,格局与视野,面试参考书等。
xingshaocheng/architect-awesome
后端架构师技术图谱
NVlabs/stylegan2
StyleGAN2 - Official TensorFlow Implementation
menzi11/BullshitGenerator
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
Yijunmaverick/CartoonGAN-Test-Pytorch-Torch
Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]
hollobit/All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
AobingJava/JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
marblexu/PythonPlantsVsZombies
a simple PlantsVsZombies game
halo-dev/halo
强大易用的开源建站工具。
ruanyf/free-books
互联网上的免费书籍
TwistedW/tensorflow-GANs
各类GAN综合在一起,借鉴了hwalsuklee大神的
TheAlgorithms/Java
All Algorithms implemented in Java
ycm-core/YouCompleteMe
A code-completion engine for Vim
521xueweihan/HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TrickyGo/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认可
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
gzc426/Java-Interview
Java 面试必会 直通BAT
ZhongFuCheng3y/athena
Java后端知识图谱🔥 帮助Java初学者成长
wangzheng0822/algo
数据结构和算法必知必会的50个代码实现
qinjx/30min_guides
覃健祥的学习笔记,各种几十分钟入门的文档
a312863063/seeprettyface-face_editor
这是一个基于StyleGAN的人脸属性编辑器
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
timqian/chinese-independent-blogs
中文独立博客列表
nnngu/Postgraduate-408-old-exam
考研 408 计算机真题
google/compare_gan
Compare GAN code.
Honlan/DeepInterests
深度有趣
a312863063/seeprettyface-generator-yellow
这是一个用StyleGAN训练出的黄种人人脸生成器
taki0112/CartoonGAN-Tensorflow
Simple Tensorflow implementation of CartoonGAN (CVPR 2018)