idusername Goto Github PK

advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识，后端同学必看，前端同学也可学习

awtk

AWTK = Toolkit AnyWhere(为嵌入式、手机和PC打造的通用GUI系统)

books-free-books

免费书籍汇总

codinginterviewsnotes

涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

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++

eks

嵌入式知识总汇 Embedded Knowledge Structure

genymotion_arm_translation

👾👾 Genymotion_ARM_Translation Please enjoy！

java

27天成为Java大神

javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

jsmpeg

MPEG1 Video Decoder in JavaScript

meething

dWebRTC Video Meetings MESH/SFU hybrid using GunDB, MediaSoup and Beyond!

meething-ml-camera

Machine-Learning powered Virtual Camera with SVG Animation (alpha)

pose-animator

qrcodejs

Cross-browser QRCode generator for javascript

rtcstartupdemo

startup demo code for webrtc beginners.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tenxcourse

韩山师范学院与十速科技校企合作共建的嵌入式开发实践课程

test

thulac

An Efficient Lexical Analyzer for Chinese

tomylove

webrtc-tutorial

:books: WebRTC 中文教程