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cmake-examples

Useful CMake Examples

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

definitelytyped

The repository for high quality TypeScript type definitions.

dl4mir

Deep learning for MIR

enini.github.io

esp-adf

Espressif Audio Development Framework

esp32

esp32_fft_audio_leds

FFT on ESP32 and using MSGEQ7 to process audio signals

flamingo

flamingo 一款高性能轻量级开源即时通讯软件

flare

Flare是广泛投产于腾讯广告后台的现代化C++开发框架，包含了基础库、RPC、各种客户端等。主要特点为易用性强、长尾延迟低。

go-learning-proj

intelligentvisualizationplatform

intellij-community

IntelliJ IDEA Community Edition & IntelliJ Platform

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.

kcp

:zap: KCP - A Fast and Reliable ARQ Protocol

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

mongoose

MongoDB object modeling designed to work in an asynchronous environment.

muduo

Event-driven network library for multi-threaded Linux server in C++11

netdisk_reactor

基于Linux的私有文件服务器，采用reactor模式开发

postgraduate_material

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

scut-b8-303

simplemuduo

spleeter

Deezer source separation library including pretrained models.

studybooks

我的学习资料，包括书籍、网址等

tcp-server

目前是简单的TCP Server，仅用于个人学习TCP网络编程。后续可能会添加其他TCP网络编程相关代码

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

tinyweb

Simple and lightweight HTTP async server for micropython