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Collaborative Framework for Hyperspectral Intelligence

Project description

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CUVIS.AI

PyPI version CI Status codecov License Python Documentation

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


Apache License 2.0 — see LICENSE.

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