Github Top Repositories
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📌 Spotted on GitHub Trending: roboflow/supervision — let's break it down.
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
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Supervision is a Python library that simplifies the development of computer vision applications. Its primary purpose is to provide reusable tools for common tasks such as loading datasets, drawing detections, and counting objects in a specific zone. The library is model-agnostic, allowing users to plug in any classification, detection, or segmentation model.
To get started, you can
For usage, you can use the library to load datasets from various formats, split and merge datasets, and save them in different formats. The library also provides a range of technical highlights, including support for object detection, tracking, and speed estimation.
The library is designed for developers and researchers working on computer vision projects, particularly those who want to build applications faster and more reliably. With its user-friendly documentation and active community, Supervision is an excellent choice for anyone looking to simplify their computer vision workflow.
One-liner takeaway: Supervision simplifies computer vision development by providing reusable tools and a model-agnostic approach, making it an excellent choice for developers and researchers looking to build applications faster and more reliably.
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🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
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Supervision is a Python library that simplifies the development of computer vision applications. Its primary purpose is to provide reusable tools for common tasks such as loading datasets, drawing detections, and counting objects in a specific zone. The library is model-agnostic, allowing users to plug in any classification, detection, or segmentation model.
To get started, you can
pip install supervision in a Python environment with version 3.9 or higher. The library offers a range of key features, including connectors for popular libraries like Ultralytics, Transformers, and MMDetection, as well as highly customizable annotators for visualizing detections.For usage, you can use the library to load datasets from various formats, split and merge datasets, and save them in different formats. The library also provides a range of technical highlights, including support for object detection, tracking, and speed estimation.
The library is designed for developers and researchers working on computer vision projects, particularly those who want to build applications faster and more reliably. With its user-friendly documentation and active community, Supervision is an excellent choice for anyone looking to simplify their computer vision workflow.
One-liner takeaway: Supervision simplifies computer vision development by providing reusable tools and a model-agnostic approach, making it an excellent choice for developers and researchers looking to build applications faster and more reliably.
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🔍 Deep-diving into opencv/opencv — fresh off the trending list.
🔗 https://github.com/opencv/opencv
📝 Open Source Computer Vision Library
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The OpenCV library is a game-changer for computer vision enthusiasts, providing a vast array of functions and tools for image and video processing, feature detection, object recognition, and more. With its
To get started, users can access the official homepage for courses, documentation, and forums, or contribute to the library by submitting pull requests and following the
Whether you're a seasoned developer or just starting out, OpenCV is an invaluable resource for anyone looking to push the boundaries of computer vision. So why not join the community today and start building something amazing with OpenCV? Empower your vision with the world's leading computer vision library!
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🔗 https://github.com/opencv/opencv
📝 Open Source Computer Vision Library
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The OpenCV library is a game-changer for computer vision enthusiasts, providing a vast array of functions and tools for image and video processing, feature detection, object recognition, and more. With its
extensive documentation and active community, OpenCV is the perfect platform for developers, researchers, and students to explore and innovate in the field of computer vision. To get started, users can access the official homepage for courses, documentation, and forums, or contribute to the library by submitting pull requests and following the
guidelines. The library's technical highlights include its ability to support various programming languages, such as C++, Python, and Java, making it a versatile tool for diverse applications. Whether you're a seasoned developer or just starting out, OpenCV is an invaluable resource for anyone looking to push the boundaries of computer vision. So why not join the community today and start building something amazing with OpenCV? Empower your vision with the world's leading computer vision library!
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Github Top Repositories
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🌟 refactoringhq/tolaria caught my eye on GitHub Trending today.
🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
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Tolaria is a desktop app for managing markdown knowledge bases. It's used for personal knowledge, company docs, and storing AI memory and procedures. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.
Key features include:
-
- Support for AI agents like Claude Code, Codex CLI, and Gemini CLI
-
To get started, you can install Tolaria via
One-liner takeaway: Tolaria is the ultimate tool for managing your knowledge base, giving you complete control over your data and versatility in using AI agents.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
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Tolaria is a desktop app for managing markdown knowledge bases. It's used for personal knowledge, company docs, and storing AI memory and procedures. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.
Key features include:
-
Keyboard-first design for power-users- Support for AI agents like Claude Code, Codex CLI, and Gemini CLI
-
Standards-based notes in markdown with YAML frontmatterTo get started, you can install Tolaria via
Homebrew or download the latest release. The app is open source and built with Tauri, React, and TypeScript.One-liner takeaway: Tolaria is the ultimate tool for managing your knowledge base, giving you complete control over your data and versatility in using AI agents.
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💡 aaif-goose/goose just hit the trending charts — here's why it matters.
🔗 https://github.com/aaif-goose/goose
📝 an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Meet goose, a general-purpose AI agent designed to run on your machine, making it easy to tackle tasks such as research, writing, automation, and data analysis. With a native desktop app for macOS, Linux, and Windows, a full CLI for terminal workflows, and an API for embedding, goose is built in
It supports over 15 providers, including Anthropic, OpenAI, and Google, and connects to 70+ extensions via the Model Context Protocol open standard. To get started, you can download the desktop app or install the CLI using a simple script:
Goose is perfect for developers, researchers, and anyone looking to streamline their workflow with AI.
The takeaway: goose is the ultimate AI sidekick that helps you "migrate" your tasks to the next level!
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🔗 https://github.com/aaif-goose/goose
📝 an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Meet goose, a general-purpose AI agent designed to run on your machine, making it easy to tackle tasks such as research, writing, automation, and data analysis. With a native desktop app for macOS, Linux, and Windows, a full CLI for terminal workflows, and an API for embedding, goose is built in
Rust for optimal performance and portability. It supports over 15 providers, including Anthropic, OpenAI, and Google, and connects to 70+ extensions via the Model Context Protocol open standard. To get started, you can download the desktop app or install the CLI using a simple script:
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash
Goose is perfect for developers, researchers, and anyone looking to streamline their workflow with AI.
The takeaway: goose is the ultimate AI sidekick that helps you "migrate" your tasks to the next level!
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Github Top Repositories
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⚡ Andyyyy64/whichllm is making waves. Here's the full picture.
🔗 https://github.com/Andyyyy64/whichllm
📝 Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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Find the perfect LLM for your hardware with Andyyyy64/whichllm, a Python tool that auto-detects your GPU/CPU/RAM and ranks top models from HuggingFace that fit your system. Key features include evidence-based ranking, recency-aware scoring, and architecture-aware estimates.
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🔗 https://github.com/Andyyyy64/whichllm
📝 Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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Find the perfect LLM for your hardware with Andyyyy64/whichllm, a Python tool that auto-detects your GPU/CPU/RAM and ranks top models from HuggingFace that fit your system. Key features include evidence-based ranking, recency-aware scoring, and architecture-aware estimates.
whichllm is easy to use: just run uvx whichllm@latest or install it with pip install whichllm. You can simulate different GPUs, compare upgrade candidates, and even get copy-paste Python snippets for your chosen model. The tool is designed for developers and researchers who want to get the most out of their hardware. whichllm --gpu "RTX 4090"to see the best models for your system. One-liner takeaway: Get the best LLM for your hardware in one command with Andyyyy64/whichllm.
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💡 TapXWorld/ChinaTextbook just hit the trending charts — here's why it matters.
🔗 https://github.com/TapXWorld/ChinaTextbook
📝 所有小初高、大学PDF教材。
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ChinaTextbook is a GitHub repository that provides free access to Chinese textbooks, aiming to promote compulsory education and eliminate regional education disparities. The repository contains a wide range of textbooks, including mathematics for elementary, middle, and high school, as well as university-level mathematics, such as linear algebra and probability theory.
To use the repository, simply browse through the folders and download the desired textbooks. Note that some files may be split into smaller parts due to GitHub's upload limits, but a
The repository is maintained by TapXWorld and is open to contributions and donations. Join the Telegram community to get the latest updates and share your thoughts: https://xn--r1a.website/+1V6WjEq8WEM4MDM1.
One-liner takeaway: Empowering education with free access to Chinese textbooks.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/TapXWorld/ChinaTextbook
📝 所有小初高、大学PDF教材。
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ChinaTextbook is a GitHub repository that provides free access to Chinese textbooks, aiming to promote compulsory education and eliminate regional education disparities. The repository contains a wide range of textbooks, including mathematics for elementary, middle, and high school, as well as university-level mathematics, such as linear algebra and probability theory.
To use the repository, simply browse through the folders and download the desired textbooks. Note that some files may be split into smaller parts due to GitHub's upload limits, but a
mergePDFs-windows-amd64.exe program is provided to merge them.The repository is maintained by TapXWorld and is open to contributions and donations. Join the Telegram community to get the latest updates and share your thoughts: https://xn--r1a.website/+1V6WjEq8WEM4MDM1.
One-liner takeaway: Empowering education with free access to Chinese textbooks.
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🚀 Meet x1xhlol/system-prompts-and-models-of-ai-tools: a gem from today's GitHub trending list.
🔗 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
📝 FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The system-prompts-and-models-of-ai-tools GitHub repository is a valuable resource for the AI community, providing a comprehensive collection of system prompts and models for various AI tools. The purpose of this repository is to facilitate the development and improvement of AI systems by offering a centralized hub for
To get started, users can explore the repository's contents, which include a wide range of
From a technical perspective, the repository highlights the importance of secure data practices, particularly for AI startups, by providing resources and guidance on
This repository is ideal for AI developers, researchers, and startups looking to improve their AI systems and stay up-to-date with the latest developments in the field.
In short, the system-prompts-and-models-of-ai-tools repository is a go-to resource for anyone involved in AI development - star it and join the community to accelerate your AI journey!
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🔗 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
📝 FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The system-prompts-and-models-of-ai-tools GitHub repository is a valuable resource for the AI community, providing a comprehensive collection of system prompts and models for various AI tools. The purpose of this repository is to facilitate the development and improvement of AI systems by offering a centralized hub for
prompts and models. To get started, users can explore the repository's contents, which include a wide range of
prompts and models for different AI applications. The repository is open-source, allowing developers to contribute and share their own prompts and models. From a technical perspective, the repository highlights the importance of secure data practices, particularly for AI startups, by providing resources and guidance on
prompt injection and system prompt extraction risks. This repository is ideal for AI developers, researchers, and startups looking to improve their AI systems and stay up-to-date with the latest developments in the field.
In short, the system-prompts-and-models-of-ai-tools repository is a go-to resource for anyone involved in AI development - star it and join the community to accelerate your AI journey!
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🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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🌟 yikart/AiToEarn caught my eye on GitHub Trending today.
🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
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AiToEarn is an innovative platform that empowers individuals and businesses to monetize, publish, engage, and create content across multiple platforms. With its AI Agent automation, it simplifies the process of building, distributing, and earning from content on various social media channels, including TikTok, YouTube, Facebook, and more.
The platform offers
Key features include content creation, publishing, and engagement agents, as well as support for multiple platforms and languages. The platform is suitable for one-person companies, creators, and businesses looking to streamline their content marketing efforts.
From a technical standpoint, AiToEarn is built using Node.js 20.18.x and offers a range of tools and integrations for customization and extension.
In summary, AiToEarn is a powerful tool for anyone looking to simplify their content marketing workflow and turn their creativity into cash:
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🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
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AiToEarn is an innovative platform that empowers individuals and businesses to monetize, publish, engage, and create content across multiple platforms. With its AI Agent automation, it simplifies the process of building, distributing, and earning from content on various social media channels, including TikTok, YouTube, Facebook, and more.
The platform offers
five usage methods: web, OpenClaw, Claude/Cursor, Docker, and source code development. To get started, users can obtain an API Key by registering and logging in to the website. Key features include content creation, publishing, and engagement agents, as well as support for multiple platforms and languages. The platform is suitable for one-person companies, creators, and businesses looking to streamline their content marketing efforts.
From a technical standpoint, AiToEarn is built using Node.js 20.18.x and offers a range of tools and integrations for customization and extension.
In summary, AiToEarn is a powerful tool for anyone looking to simplify their content marketing workflow and turn their creativity into cash:
create, publish, engage, and earn with AiToEarn - the ultimate content monetization platform!──────────────────────────────
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