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Source channel @githubtrending · Post #15062 · Aug 15

#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM

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@githubtrending · Post #14959 · 07/14/2025, 01:00 PM

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#javascript#cheerp#cheerpx#cpp#lwip#repl#tailscale#vm#wasm#webassembly#webvm#xterm_js WebVM lets you run a full Linux system directly in your web browser without needing a server. It uses a special engine called CheerpX to safely run unmodified Linux programs by converting x86 code to WebAssembly. You get a real Debian Linux environment with many tools, and it supports networking through Tailscale VPN, so your browser VM can connect securely to the internet. You can also customize and deploy your own WebVM easily using GitHub, making it great for development, testing, or learning Linux without installing anything. This means you can have a powerful, private Linux machine anytime, anywhere, just in your browser[1][2][3]. https://github.com/leaningtech/webvm

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