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Jin Liu (Liuyvjin)

Liuyvjin

Geek Repo

19

followers

15

following

148

stars

Company:Shanghai Jiao Tong University

Location:Shanghai

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Jin Liu's starred repositories

Motrix

A full-featured download manager.

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nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

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proxyee-down

http下载工具，基于http代理，支持多连接分块下载

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ieaseMusic

网易云音乐第三方

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ur10_rg2_ros

This repository provides codes for control and interface of rg2 gripper with ROS, MoveIt using UR10 manipulator

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sublime-text

sublime-text

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Python-100-Days

Python - 100天从新手到大师

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ROS-Academy-for-Beginners

**大学MOOC《机器人操作系统入门》课程代码示例

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theme.typora.io

Website for Typora themes

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waifu2x

Image Super-Resolution for Anime-Style Art

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openvpn-install

OpenVPN road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

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numix-icon-theme-circle

Linux packaging for Numix Circle

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Wine_Appimage

Appimage For Wine

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AppImageKit

Package desktop applications as AppImages that run on common Linux-based operating systems, such as RHEL, CentOS, openSUSE, SLED, Ubuntu, Fedora, debian and derivatives. Join #AppImage on irc.libera.chat

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linux-command

➥ Linux 命令查询工具跨平台桌面版

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linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

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100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

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Blog

关注基础知识，打造优质前端博客，公众号[前端工匠]的作者

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thefuck

Magnificent app which corrects your previous console command.

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Selenium-Document

a document with regard to selenium

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pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

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Python

All Algorithms implemented in Python

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python

Show Me the Code Python version.

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show-me-the-code

Python 练习册，每天一个小程序

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Python-crawler-tutorial-starts-from-zero

python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架

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awesome-python-login-model

😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟

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git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

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ShadowsocksTutorials

Shadowsocks教程

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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

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deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

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