🎯 NVlabs/Sana landed on trending. Worth a proper look.

🔗 https://github.com/NVlabs/Sana
📝 SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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The SANA project is an open-source codebase for efficient high-resolution image and video generation, providing complete training and inference pipelines. It includes various models such as SANA-1.5, SANA-Sprint, SANA-Video, and Sol-RL.

The key features of SANA include its efficiency, scalability, and support for multiple models and techniques. The project also provides a range of tools and resources, including documentation, demos, and pre-trained models.

Technical highlights of SANA include its use of techniques such as causal linear attention, mix-FFN, and inference-time scaling. The project also supports various frameworks and libraries, including diffusers and ComfyUI.

The target audience for SANA includes researchers, developers, and practitioners in the field of computer vision and machine learning.

The project has a strong focus on community engagement, with a Discord channel for discussions and a range of resources and tools available for contributors.

In summary, SANA is a powerful and efficient codebase for high-resolution image and video generation, with a strong focus on community engagement and support. With its range of models, techniques, and resources, SANA is an ideal choice for anyone looking to explore the latest advances in computer vision and machine learning: join the SANA community today and start generating stunning images and videos!

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🧠 Channel: https://t.me/GithubRe

⚡ microsoft/ai-agents-for-beginners is making waves. Here's the full picture.

🔗 https://github.com/microsoft/ai-agents-for-beginners
📝 12 Lessons to Get Started Building AI Agents
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The AI Agents for Beginners course on GitHub is designed to introduce you to the world of building AI Agents. With 50+ language translations available, this course is accessible to a wide range of learners. The course covers the fundamentals of building AI Agents, including lessons on AI Agentic Frameworks, AI Agentic Design Patterns, and Building Trustworthy AI Agents.

To get started, you can fork this repo and run the code examples, which utilize Microsoft Agent Framework with Azure AI Foundry Agent Service V2. You can also join the Microsoft Foundry Discord channel to meet other learners and get your questions answered.

This course is perfect for beginners and experienced learners alike, with each lesson including a written lesson, a short video, and Python code samples. Whether you're looking to build AI Agents for personal projects or professional applications, this course provides the foundation you need to get started.

Takeaway: Dive into the world of AI Agents with this beginner-friendly course and start building your own AI Agents today!

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🧠 Channel: https://t.me/GithubRe

💡 ZhuLinsen/daily_stock_analysis just hit the trending charts — here's why it matters.

🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
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The Daily Stock Analysis system is an AI-powered stock analysis platform that provides automated daily analysis and decision-making dashboards for A-share, Hong Kong share, and US share markets.

Key features include:
- AI decision reports with core conclusions, scores, trends, and risk alerts
- Multi-market data aggregation for stocks, ETFs, and market news
- Web and desktop workstations for manual analysis and configuration management
- Agent strategy inquiry for multi-round questioning and strategy validation

The system supports various AI models and data sources, including Anspire, AIHubMix, and SerpAPI.

To get started, users can fork the repository and configure secrets for AI models, notification channels, and stock lists. Then, they can enable GitHub Actions for automated daily analysis or run the system locally using Docker.

The target audience includes individual investors, researchers, and financial institutions seeking to leverage AI for stock market analysis.

In a nutshell, Daily Stock Analysis is your one-stop-shop for AI-driven stock market insights, automating the tedious process of data collection and analysis, so you can focus on making informed investment decisions.

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🧠 Channel: https://t.me/GithubRe

🔥 plausible/analytics is trending — and it deserves your attention.

🔗 https://github.com/plausible/analytics
📝 Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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Plausible Analytics is a privacy-first web analytics tool that's lightweight and cookie-free. It offers a simple, fast dashboard and is GDPR, CCPA, PECR compliant. You can use it as a managed cloud service or self-host it. The project is open source and independent, funded by subscribers.

Key features include:
- Real-time insights
- Search insights integrated with Google Search Console
- API and integrations for custom workflows
- Define key goals and track conversions

Technical highlights:

Backend: Elixir + Phoenix
Databases: PostgreSQL, ClickHouse
Frontend: React + TailwindCSS

Plausible is for anyone looking for a private and simple web analytics solution. With its transparent business model, you pay for the service, not with your users' data.
One-liner takeaway: Plausible Analytics - private, simple, and transparent web analytics.

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🧠 Channel: https://t.me/GithubRe

🔥 tinyhumansai/openhuman is trending — and it deserves your attention.

🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is your personal AI super intelligence, designed to integrate with you in your daily life. It's private, simple, and extremely powerful. With a clean desktop experience and short onboarding paths, you can get started in just a few clicks.

Key features include:
- 118+ third-party integrations with one-click OAuth
- A Memory Tree and Obsidian Wiki for a local-first knowledge base
- Batteries included: web search, web-fetch scraper, coder toolset, and native voice
- Smart token compression (TokenJuice) to reduce cost and latency

Technical highlights:
- Built with Rust, Node.js, and pnpm
- Uses Tauri and CEF for the desktop shell
- Includes git submodule update --init --recursive for vendored sources

The target audience is anyone looking for a personal AI assistant that's easy to use and integrates with their daily life.

In short, OpenHuman is the ultimate AI sidekick that gets to know you in minutes, not weeks - star the repo and experience the future of AI today!

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🧠 Channel: https://t.me/GithubRe