Collaborative Framework for Hyperspectral Intelligence
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Project description
CUVIS.AI
A modular toolkit for building graph-based ML pipelines for hyperspectral imaging — from preprocessing through training to deployment.
Platform
cuvis.ai is split across three repositories:
| Repository | Role |
|---|---|
| cuvis-ai-core | Framework — base Node class, pipeline orchestration, two-phase training, gRPC services, plugin system |
| cuvis-ai-schemas | Shared Protobuf / gRPC schema definitions and generated types |
| cuvis-ai (this repo) | Catalog — 40+ domain-specific nodes for anomaly detection, preprocessing, band selection, and more |
Quick Start
As a library (in your own project):
uv add cuvis-ai
GPU support: For PyTorch with CUDA, see the Installation Guide for setup instructions.
For development (within this repo):
uv sync
See the Installation Guide for prerequisites and detailed setup.
Documentation
Full documentation is available at https://docs.cuvis.ai/latest/.
Links
- Website: https://www.cubert-hyperspectral.com/
- Support: http://support.cubert-hyperspectral.com/
- Issues: https://github.com/cubert-hyperspectral/cuvis-ai/issues
- Changelog: CHANGELOG.md
Apache License 2.0 — see LICENSE.
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