#python
You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.
https://github.com/zhu-xlab/GlobalBuildingAtlas
You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.
https://github.com/zhu-xlab/GlobalBuildingAtlas
GitHub
GitHub - zhu-xlab/GlobalBuildingAtlas: GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and…
GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models - zhu-xlab/GlobalBuildingAtlas
#python #agent #llm #rag #tutorial
You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime.
https://github.com/datawhalechina/hello-agents
You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime.
https://github.com/datawhalechina/hello-agents
GitHub
GitHub - datawhalechina/hello-agents: 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程. Contribute to datawhalechina/hello-agents development by creating an account on GitHub.