2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍

Windows核心编程随笔、源码、电子书

https://youtu.be/YQ1EJJZBHyE

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

Tutorials for creating and using ONNX models

Examples for using ONNX Runtime for machine learning inferencing.

A collection of pre-trained, state-of-the-art models in the ONNX format

Simple console app that implements ONNX Runtime and ResNet in C++

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

C++那些事

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

🔥 比libevent/libuv/asio更易用的网络库。A c/c++ network library for developing TCP/UDP/SSL/HTTP/WebSocket/MQTT client/server.

A List of Quality OpenResty Libraries, and Resources.

C++ implementation of Data Encryption Standard (DES, 3DES) (ECB, CBC)

Embed the Power of Lua into NGINX HTTP servers

PyTorch Tutorial for Deep Learning Researchers

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

.NET/C# binding for Baidu paddle inference library and PaddleOCR

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

MPEG1 Video Decoder in JavaScript

Sarasa Gothic / 更纱黑体 / 更紗黑體 / 更紗ゴシック / 사라사 고딕

Google's Material Design in XAML & WPF, for C# & VB.Net.

this a RecoveDemo use AforgeRecoveDemo

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Xray, Penetrates Everything. Also the best v2ray-core. Where the magic happens. An open platform for various uses.

A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

A platform for building proxies to bypass network restrictions.

A synthetic data generator for text recognition

A pytorch re-implementation of Convolutional recurrent network in pytorch

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M