🌟 microsoft/AI-For-Beginners caught my eye on GitHub Trending today.

🔗 https://github.com/microsoft/AI-For-Beginners
📝 12 Weeks, 24 Lessons, AI for All!
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The Microsoft AI-For-Beginners GitHub repository is an excellent starting point for those new to Artificial Intelligence (AI). This 12-week, 24-lesson curriculum is designed to be beginner-friendly and covers a wide range of topics, including TensorFlow and PyTorch, as well as ethics in AI.

The curriculum is divided into sections, including an Introduction to AI, Symbolic AI, and Introduction to Neural Networks. Each section includes practical lessons, quizzes, and labs to help reinforce learning.

One of the key features of this repository is its multi-language support, with translations available in over 50 languages. To get started, you can clone the repository locally, and to make the process faster, you can use sparse checkout to exclude translations.

Here's an example of how to do this:

git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
cd AI-For-Beginners
git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'

The repository also includes a mindmap of the course to help visualize the topics covered. You can join the community and get involved through the Microsoft Foundry Discord server.

Overall, the Microsoft AI-For-Beginners repository is a comprehensive resource for anyone looking to learn about AI. So, dive in and start exploring - with this curriculum, you'll be well on your way to becoming an AI master in no time!

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: usekaneo/kaneo — let's break it down.

🔗 https://github.com/usekaneo/kaneo
📝 🎯 All you need. Nothing you don't. Open source project management that works for you, not against you.
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Kaneo is a minimalist project management platform designed to help teams focus on building great products without unnecessary distractions. Its clean interface, self-hosted nature, and fast performance make it an attractive alternative to bloated tools.

To get started with Kaneo, you can use the drim CLI tool for a one-click deployment or set it up with Docker Compose for a quick start. The platform is open source with a permissive MIT license, and its documentation provides detailed guides for setup, configuration, and development.

Kaneo is suitable for teams looking for a simple, efficient, and customizable project management solution. Whether you're a developer, a project manager, or a team lead, Kaneo's flexible and adaptable nature makes it a great choice.

From a technical standpoint, Kaneo's API and web services can be configured and customized to meet specific needs, and its Kubernetes deployment options make it easy to scale and manage.

In short, Kaneo is a breath of fresh air in the world of project management tools - simple, fast, and efficient. Try it out and see the difference for yourself: with Kaneo, less is more, and that's what makes it great.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 lyogavin/airllm landed on trending. Worth a proper look.

🔗 https://github.com/lyogavin/airllm
📝 AirLLM 70B inference with single 4GB GPU
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AirLLM is a game-changer for large language models, allowing them to run on significantly less GPU memory without sacrificing performance. With AirLLM, you can run massive models like 405B Llama 3.1 on just 8GB of GPU memory or DeepSeek-V3 (671B) on around 12GB. The secret lies in its ability to stream one expert at a time, rather than loading the entire layer.

To get started, simply install the airllm package using pip install airllm and initialize the model with AutoModel.from_pretrained("model_id"). You can also enable model compression for up to 3x inference speedup by passing the compression argument.

AirLLM supports a wide range of models, including ChatGLM, QWen, Baichuan, and more. It's perfect for researchers, developers, and enthusiasts looking to push the boundaries of language modeling.

In short, AirLLM is a powerful tool that makes large language models more accessible and efficient. With its ease of use and impressive performance, it's a must-try for anyone working with language models: run bigger models, faster, and on less hardware.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: iv-org/invidious — let's break it down.

🔗 https://github.com/iv-org/invidious
📝 Invidious is an alternative front-end to YouTube
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The Invidious project is an open-source alternative front-end to YouTube, offering a lightweight and ad-free experience. Its key features include no tracking, customizable homepage, and notifications for subscribed channels. Invidious can be used by selecting a public instance from the list or by hosting it yourself.

From a technical standpoint, Invidious has embedded video support and a developer API, and it does not use official YouTube APIs. The project is available in many languages and has a strong focus on community involvement, with opportunities to contribute code and translate the platform.

The target audience for Invidious includes anyone looking for a private and ad-free YouTube experience. Whether you're a casual user or a developer, Invidious provides a unique alternative to the traditional YouTube platform.

Invidious is all about taking back control of your YouTube experience - it's your videos, your way.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 codecrafters-io/build-your-own-x landed on trending. Worth a proper look.

🔗 https://github.com/codecrafters-io/build-your-own-x
📝 Master programming by recreating your favorite technologies from scratch.
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The codecrafters-io/build-your-own-x GitHub repository is a treasure trove of guides for building various technologies from scratch. Its purpose is to help you learn by creating real-world projects, following the philosophy of Richard Feynman: "What I cannot create, I do not understand."

The repo offers a wide range of key features, including step-by-step tutorials, example code in multiple programming languages, and explanations of complex concepts. You can use these guides to build your own 3D renderer, AI model, augmented reality app, BitTorrent client, blockchain, bot, command-line tool, database, and many more.

Some technical highlights include the use of languages like C++, Java, Python, and JavaScript, as well as frameworks and libraries such as Unity and OpenCV. The guides also cover various topics, such as computer graphics, machine learning, networking, and cybersecurity.

This repository is suitable for developers of all levels, from beginners to experienced professionals, who want to improve their skills and learn by building real-world projects.

In short, building your own technology from scratch is the best way to learn, and this repository provides the perfect starting point - so, get building and create something amazing!

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet zhaoxuya520/reverse-skill: a gem from today's GitHub trending list.

🔗 https://github.com/zhaoxuya520/reverse-skill
📝 Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
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The reverse-skill GitHub repository is a comprehensive cybersecurity skills router designed to navigate complex security tasks. It provides a structured approach to routing methodologies, checking available tools, and executing repeatable workflows for various scenarios, including APK analysis, binary reverse engineering, and penetration testing.

The repository includes key features such as a PRIMARY fast ladder, a task → skill routing matrix, and a local tool status index. It supports multiple platforms, including Windows, Linux, and macOS, and integrates various tools like IDA Pro, radare2, and Ghidra.

To get started, users need to clone the repository, refresh the tool index, and follow platform-specific documentation. The repository layout is well-organized, with separate sections for skills, scripts, and documentation.

The target audience includes security professionals, researchers, and AI agents looking to streamline their workflow and improve efficiency. With its MIT License and open-source dependencies, the project encourages contributions and collaboration.

In summary, reverse-skill is a powerful tool for cybersecurity professionals, providing a structured approach to complex security tasks - automate your workflow, amplify your skills.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: different-ai/openwork — let's break it down.

🔗 https://github.com/different-ai/openwork
📝 The open-source alternative to Claude Cowork (powered by opencode)
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The OpenWork project is a free, open-source desktop app designed for sharing AI workflows across various platforms, including macOS, Windows, and Linux. Its primary purpose is to provide a unified workspace where users can create, share, and reuse AI workflows, skills, and connected services with teammates or keep them private.

The key features include adding one OpenWork MCP to compatible agents like Codex, Claude Code, or Cursor, and reusing the same skills and connections across tools and machines. The desktop app offers a dedicated workspace, but it's not required, as users can access OpenWork from their existing AI agent. For larger organizations, the admin interface allows publishing capabilities, managing access, and configuring shared or per-user connections.

To get started, users can install OpenWork using a simple prompt in their AI agent or by downloading it from the official website. The OpenWork MCP brings assigned skills and plugins into any compatible agent, exposing tools like search_capabilities and execute_capability.

The project is suitable for both individual users and larger organizations, providing a flexible and scalable solution for managing AI workflows. The OpenWork Den control plane enables teams to provision inference at scale, manage access, and publish skills and plugins.

In terms of technical highlights, OpenWork uses Electron and Vite for development, and users can run multiple git worktrees at once using pnpm dev:worktree.

The target audience includes AI enthusiasts, developers, and organizations looking to streamline their AI workflow management.

In short, OpenWork empowers users to create once, share anywhere, making AI workflow management more efficient and accessible. The ability to reuse and share workflows seamlessly across different platforms and tools is a game-changer, and that's what makes OpenWork a standout solution - workflows just got a whole lot more open.

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🧠 Channel: https://t.iss.one/GithubRe

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