This article is automatically generated by n8n & AIGC workflow, please be careful to identify

Daily GitHub Project Recommendation: CookLikeHOC - Cook Like Home Original Chicken, All the Secrets Are Here!

Today, we’re excited to recommend a GitHub treasure trove full of “down-to-earth” flavors – CookLikeHOC! Have you ever been captivated by the deliciousness of Home Original Chicken (Laoxiangji), but struggled to replicate that authentic taste at home? This project is here to help, promising to let you “cook like Home Original Chicken.” It has already garnered over 9000 stars, with nearly 3000 new stars added today alone, which is testament to its immense charm!

Project Highlights

CookLikeHOC (HOC is an abbreviation for Home Original Chicken, which is Laoxiangji’s English name) is an unofficial yet incredibly rich open-source project. It meticulously summarizes, edits, and organizes all the dishes disclosed in the “Home Original Chicken Dish Traceability Report,” aiming to help you prepare those mouth-watering dishes in your own kitchen.

The core value of the project lies in its detailed recipes and clear preparation steps, allowing you to say goodbye to aimless experimentation. Notably, the project also incorporates AI-generated images to enrich the stew sections. Of course, the community warmly welcomes everyone to contribute their own real photos to make the recipes even more visually appealing. It is not just a cookbook; it is also a community platform connecting food enthusiasts and cooking experts.

Technical Details / Applicable Scenarios

The main part of this project was completed in 2024. Technically, it uses JavaScript and thoughtfully provides a convenient web version . You can access it directly without any deployment, allowing you to check recipes anytime, anywhere. Whether you are a loyal fan of Home Original Chicken hoping to savor familiar tastes at home, or a developer interested in food data organization and cooking content platforms, CookLikeHOC can offer inspiration and practical opportunities. Its over 1000 forks also demonstrate its activity and extensibility within the developer community.

How to Get Started / Links

Want to explore and start trying these delicious dishes right away?

You can experience it directly through its convenient web version , or head to the GitHub repository to delve into project details and contribute.

GitHub Link: https://github.com/Gar-b-age/CookLikeHOC

Call to Action

Don’t hesitate any longer, click the link and start your Home Original Chicken culinary journey! You are also welcome to contribute your cooking tips or real photos to make this project, full of love and deliciousness, even better. Join the community and bring the deliciousness of Home Original Chicken home!

Daily GitHub Project Recommendation: fmt - Say Goodbye to Traditional C++ Formatting, Embrace Modern, Efficient, and Safe Solutions!

Hey, tech enthusiasts! Today, I’m bringing you an indispensable tool for C++ development – fmtlib/fmt. If you’re still struggling with C++ string formatting, whether it’s the security risks of printf or the cumbersome verbosity of iostreams, then the fmt library will surely impress you. It’s not just a modern formatting library; it’s a revolution in C++ string processing, having already accumulated over 22000+ stars and being widely used in numerous well-known projects, which speaks volumes about its excellent quality.

Project Highlights

The core value of the fmt library lies in providing a fast, safe, and easy-to-use C++ string formatting solution. It addresses many pain points of traditional methods:

  • Exceptional Performance: Say goodbye to performance bottlenecks! fmt performs outstandingly in various benchmarks, being about 20% faster than C standard library’s printf, and even 20-30 times faster than std::ostringstream and sprintf, with astonishing performance in floating-point formatting. For C++ applications that pursue ultimate performance, this is undoubtedly a huge advantage.
  • Modern and Safe: It offers a concise API similar to Python’s str.format, supporting implementations for C++20 std::format and C++23 std::print. More importantly, fmt is type-safe, capable of catching formatting string errors at compile time, effectively preventing runtime crashes or security vulnerabilities that traditional printf might cause, and preventing buffer overflows through automatic memory management.
  • Powerful Features: In addition to basic string and number formatting, it also supports:
    • Positional arguments, perfectly solving internationalization (i18n) issues.
    • Precise floating-point formatting, using the Dragonbox algorithm to ensure correct rounding.
    • Unicode support, effortlessly handling multi-language characters.
    • Logging and file output, providing efficient file writing functions.
    • Rich styles: It even allows you to print strings with colors and text styles in the terminal!

Technical Details and Applicable Scenarios

fmt is a pure C++ library, with no external dependencies, and supports mainstream compilers and platforms. Its design philosophy emphasizes simplicity and efficiency; it requires only three header files for minimal configuration and supports an optional header-only mode. This makes it very easy to integrate into existing projects.

Whether you are developing high-performance games, large distributed systems, data analysis tools, or everyday command-line applications, as long as your C++ project involves string formatting, fmt can provide a more elegant, efficient, and safer alternative. Heavyweight projects like Apple’s FoundationDB, Aseprite, Blizzard Battle.net, ClickHouse, Envoy, MongoDB, PyTorch have all chosen to use fmt, which proves its stability and reliability.

How to Get Started

Want to experience the charm of fmt? Head over to its GitHub repository to learn more, including detailed documentation, installation guides, and rich examples. You can easily install it via a package manager or directly integrate its source code into your project.

GitHub Repository: https://github.com/fmtlib/fmt Official Documentation: https://fmt.dev

Call to Action

If you are looking for a better string formatting solution in C++ or want to improve your project’s code quality and runtime efficiency, then fmt is definitely worth exploring. Go give it a star on GitHub, join this active community, or try using it in your next project!

Daily GitHub Project Recommendation: Microsoft AI for Beginners - 12 Weeks to Master Artificial Intelligence!

Today, we bring you a significant learning resource from Microsoft’s official output – microsoft/AI-For-Beginners. If you’ve always been curious about artificial intelligence but found it daunting to know where to start, then this project is definitely your best choice. It offers a free 12-week course, consisting of 24 lessons, designed to make learning the core concepts of AI accessible to everyone.

Project Highlights

The AI-For-Beginners project, with its impressive 41156 stars and 8048 forks, is undoubtedly one of the most popular AI learning resources on GitHub. It’s not just a collection of theoretical materials; it’s a meticulously designed practical course, with each module featuring:

  • Comprehensive and Systematic Learning Path: From the history of AI, symbolic AI, and neural network fundamentals, to in-depth computer vision, natural language processing (NLP), and even “other AI techniques” such as genetic algorithms and multi-agent systems, as well as crucial AI ethics. The entire course covers a broad landscape of the AI field.
  • Practice-Driven Learning Experience: Each lesson includes pre-reading materials and executable Jupyter Notebooks, allowing you to run code hands-on and grasp concepts. Some topics also offer labs, enabling you to apply what you’ve learned to real-world problems.
  • Multi-Framework Support: The course content for neural networks and deep learning sections provides implementations in both TensorFlow and PyTorch, two mainstream frameworks, allowing you to choose based on your preference or future career direction.
  • Globalization and Community Support: The project offers translation support in dozens of languages, enabling learners worldwide to study without barriers. Additionally, you can join the official Discord community to interact with other learners and get support.

This project addresses the pain points of difficulty in getting started with AI, scattered resources, and a lack of systematic learning, providing a structured, rich, and practice-oriented learning platform. Whether you are a student, self-learner, or a developer looking to transition, you can benefit from it.

Technical Details / Applicable Scenarios

This course primarily uses Jupyter Notebook as the teaching medium, combining TensorFlow and PyTorch, two major deep learning frameworks, for practical exercises. It is highly suitable for:

  • AI Beginners: Individuals interested in AI but lacking foundational knowledge.
  • Developers Who Want to Learn AI Concepts Systematically: To understand different AI paradigms and their applications.
  • Educators: Can serve as teaching materials or supplementary resources for introductory AI courses.

You will not only learn theoretical knowledge but also master how to build AI models in popular frameworks through hands-on practice.

How to Get Started / Links

Want to start your AI learning journey immediately? Just follow a few simple steps:

  1. Clone or Fork the Repository: Visit the project page, click “Fork” to copy it to your GitHub account, then clone it locally.
  2. Set Up Your Development Environment: Follow the 0-course-setup guide provided by the course to configure your environment.
  3. Start Learning: Begin with the first lesson and gradually explore the mysteries of AI!

Come and explore this treasure project! GitHub Repository Link: https://github.com/microsoft/AI-For-Beginners

Call to Action

Don’t hesitate any longer, the future of artificial intelligence awaits you! If you find this project helpful, please give it a star (🌟) to help more people discover it. You are also welcome to contribute your knowledge to improve this community, or share your learning experiences on Discord!