π Deep-diving into TapXWorld/ChinaTextbook β fresh off the trending list.
π https://github.com/TapXWorld/ChinaTextbook
π ζζε°ει«γ倧ε¦PDFζζγ
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ChinaTextbook is an open-source repository on GitHub, providing a vast collection of Chinese textbooks for primary, secondary, and university education. The purpose of this project is to make these resources accessible to everyone, promoting free education and bridging the gap between different regions.
The repository includes a wide range of
This project is useful for students, teachers, and anyone interested in Chinese education. It's also a great resource for overseas Chinese who want their children to learn about Chinese education.
The project is supported by a Telegram community, where you can get the latest updates and share your ideas.
The takeaway: Learning knows no borders with ChinaTextbook!
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π§ Channel: https://t.me/GithubRe
π https://github.com/TapXWorld/ChinaTextbook
π ζζε°ει«γ倧ε¦PDFζζγ
ββββββββββββββββββββββββββββββ
ChinaTextbook is an open-source repository on GitHub, providing a vast collection of Chinese textbooks for primary, secondary, and university education. The purpose of this project is to make these resources accessible to everyone, promoting free education and bridging the gap between different regions.
The repository includes a wide range of
textbooks for various subjects, such as mathematics, with PDF files available for download. To overcome GitHub's file size limitations, larger files are split into smaller parts, and a mergePDFs tool is provided to combine them.This project is useful for students, teachers, and anyone interested in Chinese education. It's also a great resource for overseas Chinese who want their children to learn about Chinese education.
The project is supported by a Telegram community, where you can get the latest updates and share your ideas.
The takeaway: Learning knows no borders with ChinaTextbook!
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
Github Top Repositories
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π‘ hexo-ai/sia just hit the trending charts β here's why it matters.
π https://github.com/hexo-ai/sia
π SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
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SIA: Self-Improving AI is a framework that enables AI systems to autonomously improve their performance on benchmark tasks. The system operates by coordinating three main types of AI agents: Meta-Agent, Target Agent, and Feedback Agent. The
To use SIA, you can install it using
The framework has achieved impressive results, including a 56.6% gain on LawBench, 91.9% runtime reduction on GPU kernels, and 502% improvement on single-cell RNA denoising over the baseline. SIA is suitable for developers and researchers looking to improve the performance of their AI systems.
Key takeaway: SIA is a powerful tool for autonomously improving AI system performance, and its potential applications are vast β the future of AI development just got a whole lot brighter!
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π§ Channel: https://t.me/GithubRe
π https://github.com/hexo-ai/sia
π SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
ββββββββββββββββββββββββββββββ
SIA: Self-Improving AI is a framework that enables AI systems to autonomously improve their performance on benchmark tasks. The system operates by coordinating three main types of AI agents: Meta-Agent, Target Agent, and Feedback Agent. The
Meta-Agent generates an initial Target Agent tailored to the task, while the Feedback Agent reviews the Target Agent's performance logs and updates it accordingly. To use SIA, you can install it using
pip install 'sia-agent[claude]' or pip install 'sia-agent[openhands]', then run it with sia run --task gpqa --max_gen 5 --run_id 1. You can also visualize the results with sia web. The framework has achieved impressive results, including a 56.6% gain on LawBench, 91.9% runtime reduction on GPU kernels, and 502% improvement on single-cell RNA denoising over the baseline. SIA is suitable for developers and researchers looking to improve the performance of their AI systems.
Key takeaway: SIA is a powerful tool for autonomously improving AI system performance, and its potential applications are vast β the future of AI development just got a whole lot brighter!
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
Github Top Repositories
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π mattermost/mattermost caught my eye on GitHub Trending today.
π https://github.com/mattermost/mattermost
π Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
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Mattermost is an open core, self-hosted collaboration platform that offers chat, workflow automation, voice calling, screen sharing, and AI integration. The platform is written in
To get started, you can deploy Mattermost on-premises or try it for free in the cloud. The platform has a variety of use cases, including DevSecOps, Incident Resolution, and IT Service Desk.
Mattermost has native mobile and desktop apps for Android, iOS, Windows PC, macOS, and Linux. The platform also offers a range of installation guides, including Docker, Ubuntu, and Kubernetes.
The platform is suitable for developers, system administrators, and business users who want a self-hosted collaboration platform with a range of features and integrations.
Mattermost is a powerful tool for teams and organizations - join the community today and experience the benefits of self-hosted collaboration!
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π§ Channel: https://t.me/GithubRe
π https://github.com/mattermost/mattermost
π Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
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Mattermost is an open core, self-hosted collaboration platform that offers chat, workflow automation, voice calling, screen sharing, and AI integration. The platform is written in
Go and React, and runs as a single Linux binary, relying on PostgreSQL. To get started, you can deploy Mattermost on-premises or try it for free in the cloud. The platform has a variety of use cases, including DevSecOps, Incident Resolution, and IT Service Desk.
Mattermost has native mobile and desktop apps for Android, iOS, Windows PC, macOS, and Linux. The platform also offers a range of installation guides, including Docker, Ubuntu, and Kubernetes.
The platform is suitable for developers, system administrators, and business users who want a self-hosted collaboration platform with a range of features and integrations.
Mattermost is a powerful tool for teams and organizations - join the community today and experience the benefits of self-hosted collaboration!
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
Github Top Repositories
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π Spotted on GitHub Trending: bannedbook/fanqiang β let's break it down.
π https://github.com/bannedbook/fanqiang
π ηΏ»ε’-η§ε¦δΈη½
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Fanqiang is a comprehensive project library for scientific internet access and wall-jumping tools, providing various tutorials and software for different devices and operating systems. The project includes
Takeaway: Freedom to access the internet, no matter where you are.
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
π https://github.com/bannedbook/fanqiang
π ηΏ»ε’-η§ε¦δΈη½
ββββββββββββββββββββββββββββββ
Fanqiang is a comprehensive project library for scientific internet access and wall-jumping tools, providing various tutorials and software for different devices and operating systems. The project includes
Chrome one-click wall-jumping package, Android wall-jumping APP tutorials, iPhone/iPad/iOS V2ray/SS wall-jumping APP tutorials, and more. It also covers Windows V2ray/SS/SSR wall-jumping tutorials, MacηΏ»ε’θ½―δ»Άζη¨, and LinuxηΏ»ε’ζη¨. The goal is to provide free and stable internet access to users. Takeaway: Freedom to access the internet, no matter where you are.
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
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Github Top Repositories
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π₯ apple/container is trending β and it deserves your attention.
π https://github.com/apple/container
π A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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The apple/container repo is home to a powerful tool that lets you create and run Linux containers on your Mac, essentially treating them as lightweight virtual machines. It's built with Swift and optimized for Apple silicon, allowing for seamless integration with your Mac.
Key features include consuming and producing
To get started, you'll need a Mac with Apple silicon and macOS 26 or later. You can download the latest signed installer package from the GitHub release page, then follow the installation instructions.
The project is under active development, and while it's not yet stable, it's definitely worth checking out. The documentation provides a guided tour, technical overview, and command reference, making it easy for developers to dive in.
Whether you're a seasoned developer or just starting out, the apple/container project has something to offer - so why not containerize your workflow and take your development to the next level: Run anywhere, deploy everywhere.
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
π https://github.com/apple/container
π A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
ββββββββββββββββββββββββββββββ
The apple/container repo is home to a powerful tool that lets you create and run Linux containers on your Mac, essentially treating them as lightweight virtual machines. It's built with Swift and optimized for Apple silicon, allowing for seamless integration with your Mac.
Key features include consuming and producing
OCI-compatible container images, which means you can pull and run images from any standard container registry, as well as push your own built images to those registries. The container tool utilizes the Containerization Swift package for low-level container management.To get started, you'll need a Mac with Apple silicon and macOS 26 or later. You can download the latest signed installer package from the GitHub release page, then follow the installation instructions.
The project is under active development, and while it's not yet stable, it's definitely worth checking out. The documentation provides a guided tour, technical overview, and command reference, making it easy for developers to dive in.
Whether you're a seasoned developer or just starting out, the apple/container project has something to offer - so why not containerize your workflow and take your development to the next level: Run anywhere, deploy everywhere.
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe
π― addyosmani/agent-skills landed on trending. Worth a proper look.
π https://github.com/addyosmani/agent-skills
π Production-grade engineering skills for AI coding agents.
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The Agent Skills GitHub repository provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases. The repository includes
To use these skills, you can install them via various methods, including
The skills are categorized into
Overall, the Agent Skills repository provides a comprehensive set of skills to help AI agents develop software consistently and efficiently. With these skills, you can automate your development workflow and ship faster with confidence.
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π§ Channel: https://t.me/GithubRe
π https://github.com/addyosmani/agent-skills
π Production-grade engineering skills for AI coding agents.
ββββββββββββββββββββββββββββββ
The Agent Skills GitHub repository provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases. The repository includes
7 slash commands that map to the development lifecycle, allowing agents to activate the right skills automatically. To use these skills, you can install them via various methods, including
Claude Code, Cursor, Antigravity CLI, Gemini CLI, and more. The repository contains a total of 24 skills, each representing a structured workflow with steps, verification gates, and anti-rationalization tables. The skills are categorized into
Define, Plan, Build, Verify, Review, and Ship phases, covering aspects such as idea refinement, test-driven development, and performance optimization. Overall, the Agent Skills repository provides a comprehensive set of skills to help AI agents develop software consistently and efficiently. With these skills, you can automate your development workflow and ship faster with confidence.
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π§ Channel: https://t.me/GithubRe
Github Top Repositories
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π― maziyarpanahi/openmed landed on trending. Worth a proper look.
π https://github.com/maziyarpanahi/openmed
π open-source healthcare ai
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Unlock the power of local-first healthcare AI with OpenMed, a revolutionary platform that turns clinical text into structured insight with just one line of code. No cloud, no vendor lock-in, and no patient data leaving your network. OpenMed boasts 1,000+ specialized medical models, supports 12 languages, and features 247 PII checkpoints for robust de-identification.
Technical highlights include a
Audience: OpenMed is designed for healthcare professionals, researchers, and developers seeking a secure, scalable, and customizable solution for clinical text analysis.
Takeaway: With OpenMed, you can keep patient data safe and secure while still leveraging the power of AI to improve healthcare outcomes β the future of healthcare AI is local, and it's here.
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π§ Channel: https://t.me/GithubRe
π https://github.com/maziyarpanahi/openmed
π open-source healthcare ai
ββββββββββββββββββββββββββββββ
Unlock the power of local-first healthcare AI with OpenMed, a revolutionary platform that turns clinical text into structured insight with just one line of code. No cloud, no vendor lock-in, and no patient data leaving your network. OpenMed boasts 1,000+ specialized medical models, supports 12 languages, and features 247 PII checkpoints for robust de-identification.
Technical highlights include a
Python API for easy integration, Apple MLX acceleration for improved performance, and a Swift framework for native iOS and macOS apps. Usage is straightforward, with a simple analyze_text() function for entity extraction and PII de-identification.Audience: OpenMed is designed for healthcare professionals, researchers, and developers seeking a secure, scalable, and customizable solution for clinical text analysis.
Takeaway: With OpenMed, you can keep patient data safe and secure while still leveraging the power of AI to improve healthcare outcomes β the future of healthcare AI is local, and it's here.
ββββββββββββββββββββββββββββββ
π§ Channel: https://t.me/GithubRe