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Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
The most customisable and low-latency cross platform/shell prompt renderer
A complete daily plan for studying to become a machine learning engineer.
Computer Networks: A Systems Approach -- Textbook
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
12 Weeks, 24 Lessons, IoT for All!
📚 Freely available programming books
Real-Time Rendering 4th (RTR4) 参考文献合集典藏 | Collection of <Real-Time Rendering 4th (RTR4)> Bibliography / Reference
⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
《Designing Data-Intensive Application》DDIA中文翻译
An annotated implementation of the Transformer paper.
《Software Engineering at Google》的中英文对译版本
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
A web-based collaborative LaTeX editor
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，…
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. Th…
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🔗 Some useful websites for programmers.
📚 List of awesome university courses for learning Computer Science!