AI4CPS OSS
AI4CPS is a Python framework for building ML & AI apps in the domain of Cyber-Physical Systems (CPSs).
Built on top of Dash, AI4CPS allows simple implementation of AI tools for CPSs. Read our tutorial.
This software is developed at Helmut Schmidt University / University of Federal Armed Forces Hamburg at the Professorship of Computer Science in Mechanical Engineering at the Institute of Automation Technology.
Installation
pip install ai4cps
The default installation does not require MLflow or PyTorch. It requires
ml4cps>=0.2.13, where both dependencies are optional.
For the MLflow-backed machine_learning() saved-model selector, install:
pip install "ai4cps[mlflow]"
The dashboard and feature execution work without MLflow. The dev extra
includes MLflow for development and testing.
AI4CPS App Examples
To be added.
Install ai4cps and import from ai4cps, for example from ai4cps.dash.dashboard import Dash4CPS.
The deprecated selfx distribution provides compatibility for legacy selfx imports.
1 maintainer
Metadata
1 maintainer
Release files for ai4cps 0.1.45
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Source distribution (sdist)
| File | Size | Uploaded | |
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| ai4cps-0.1.45.tar.gz | 53.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai4cps-0.1.45-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 108.9 kB
Release files / ai4cps-0.1.45.tar.gz
| Download URL | ai4cps-0.1.45.tar.gz |
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| Size | 53.0 kB |
| Tags | Source |
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| Size | 55.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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