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.
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.
Metadata
Release files for ai4cps 0.1.44
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai4cps-0.1.44.tar.gz | 51.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai4cps-0.1.44-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 107.4 kB
Release files / ai4cps-0.1.44.tar.gz
| Download URL | ai4cps-0.1.44.tar.gz |
|---|---|
| Size | 51.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / ai4cps-0.1.44-py3-none-any.whl
| Download URL | ai4cps-0.1.44-py3-none-any.whl |
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| Size | 55.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Provenance
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