World Models & Spatial AI 3D Spatial OS Go from raw point clouds to a deployed 3D application. 5 production modules. Real Python. No black boxes. Just code you own. Note from Florent This is where it all clicks. The Spatial OS connects your 3D pipelines, AI models, and web delivery into one system you […]
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Stop struggling with massive, unorganized LiDAR files. Master the end-to-end production workflow from raw data…
Wrap your advanced Spatial AI Agents and 3D data engines into sleek, production-ready cloud applications…
Construct the backend infrastructure required to process, index, and feed unstructured point clouds into advanced…
Architect autonomous LLM-driven agents capable of executing complex multi-step reasoning to interact with, query, and…
Transform millions of disconnected points into a queryable web of spatial relationships, teaching AI to…
Build the critical bridge between backend spatial mathematics and frontend deployment, wrapping algorithms in Flask…
Researcher
Technical University of Madrid
ML Engineer
PropTech Startup
Civil Engineer → Spatial AI Lead
Python, PyTorch, Open3D, NumPy for core AI. FastAPI, Docker, React Three Fiber for deployment. Everything is production-grade and industry-standard. Every system includes complete code repositories and deployment scripts.
Recommended for deep learning systems (4, 5, 6). I provide Google Colab notebooks (free GPU) for all GPU-intensive modules. You can complete the entire program without owning a GPU.
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