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💻 Democratizing Snippet Management (macOS/Win/Linux)
Fast and local neural text-to-speech engine
DeepSeek LLM: Let there be answers
Stable Diffusion web UI
21 Lessons, Get Started Building with Generative AI
Dive Into Kubernetes - Getting Started with Containers, Docker and Kubernetes
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
Open specification for defining and expressing service level objectives (SLO)
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
⚡ Dynamically generated stats for your github readmes
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🔥 🎉newbee-mall是一套电商系统，包括基础版本(Spring Boot+Thymeleaf)、前后端分离版本(Spring Boot+Vue 3+Element-Plus+Vue-Router 4+Pinia+Vant 4) 、秒杀版本、Go语言版本、微服务版本(Spring Cloud Alibaba+Nacos+Sentinel+Seata+Spring Cloud Gatew…
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观���写作的。我们知道在那个年代中国对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。
🙃 A delightful community-driven (with 2,500+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
📝 An awesome Data Science repository to learn and apply for real world problems.
👔 How to transition from software development to engineering management
Boring avatars is an open source React library that generates custom, SVG-based avatars from any username and color palette.
🎨 themer takes a set of colors and outputs themes for your apps (editors, terminals, wallpapers, and more).
✨ The all-contributors bot website and documentation. Recognize all contributors, not just the ones who push code ✨
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。
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
GitHub do not ban us from open source world 🇮🇷