zhaojungle's repositories
912_project
清华大学计算机系考研攻略 Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
awesome-cs-books
经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
bank_interview
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
C-CppLearning
C语言与C++学习
CMWTAT_Digital_Edition
CloudMoe Windows 10 Activation Toolkit get digital license, the best open source Win 10 activator in GitHub. GitHub 上最棒的开源 Win10 数字权利(数字许可证)激活工具!
coder2gwy
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
Computer-Architecture-Study-Note
计算机系统结构的学习笔记,前几章是手写整理的,后面到期末来不及手写了,敲键盘整理的
cskaoyan-1
收集整理全国各个学校的计算机考研、软件考研历年考研真题信息,帮助大家早日上岸,一战成硕!
Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
electronics
【笔记】电子学基础。电路分析、模拟电路、数字电路、电力电子。
embedded-system
【笔记】嵌入式系统。
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
HospitalAutoRegister
北京大学口腔医院自动挂号
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
mysupervisor_save
收集“导师评价”相关资源,及原“导师评价网”存档数据
PKUAutoElective
北大选课网补退选阶段自动选课小工具
Projects_in_CQU
该仓库用来存放在cqu学习时的课程项目
See_you_in_PKU_COE
北京大学工学院机械专业考研报考资料、复试资料汇总
step_into_mips_verilogHDL
一步一步写MIPS CPU
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.