tom12254 Goto Github PK

1150310416

algorithm_solving

记录自己在练习算法题过程中的心得总结，以及一些题目的Java版本代码，持续更新

asmack

A build environment for the XMPP client library Smack on Android

biconvlstm_violence_detection

This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movies and Violent Flows were used in this work.

c-c-

程序员相关电子书资料免费分享，欢迎关注个人微信公众号：程序员编程指南

chatroom

从零开始实现一个聊天室客户端（用qt实现,在Windows和Linux环境下都行），和在Linux下实现服务器后台

code-for-blog

Code samples from my blog

cplusplusthings

C++那些事

cpp-backend-reference

C++后端开发面试题

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

finance_model

use multiple models to analysis financial data

free-project-course

Free course for Resume, 整理和搜集网络免费的项目实战课程，包括 Java 项目实战，Python 项目实战，C++ 项目实战等

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

https-github.com-snailclimb-javaguide

java面试

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.

interview-notebook

https://github.com/CyC2018/Interview-Notebook

interview_python

关于Python的面试题

java-interview

Java 面试必会 直通BAT

kag

lab1

lab2

lab4

experiment for lab3

nettychat

基于Netty+TCP+Protobuf实现的Android IM库，包含Protobuf序列化、TCP拆包与粘包、长连接握手认证、心跳机制、断线重连机制、消息重发机制、读写超时机制、离线消息、线程池等功能。

reading-notes

注：本仓库中的文章并不是原创，而是学习相关书籍或文章的读书笔记

seconds-kill

基于 Springboot + Redis + Kafka 的秒杀系统，乐观锁 + 缓存 + 限流 + 异步，TPS 从 500 优化到 3000

ssm

:two_hearts: build SSM from 0 👉🏽👉🏽 distributed micro service.

tinywebserver

:fire: Linux下C++轻量级Web服务器

together

understanding-the-jvm

《深入理解 Java 虚拟机》阅读笔记

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.