MLPro
MLPro is an open-source Python framework for machine learning research, development, and education.
It provides a common infrastructure for different machine learning paradigms and supports the composition of reusable processing and learning workflows.
Sub-frameworks
- MLPro-BF – Basic functionality and shared infrastructure
- MLPro-RL – Reinforcement learning
- MLPro-GT – Game theory
- MLPro-OA – Online machine learning
- MLPro-SL – Supervised learning
Resources
- Documentation
- Examples
- Extensions
- PyPI
- Publications
- MLPro Newsletter – Project updates and release announcements
Project
MLPro was initiated in 2021 at the South Westphalia University of Applied Sciences, Germany.
Since 2026, the project has been maintained by blueAIC UG (haftungsbeschränkt). Development currently focuses particularly on MLPro-OA and the underlying infrastructure for online-adaptive machine learning.
Project history
The original repository, containing the project history up to MLPro 2.1.0, is preserved at:
Release files for mlpro 2.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlpro-2.2.1.tar.gz | 382.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlpro-2.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 900.0 kB
Release files / mlpro-2.2.1.tar.gz
| Download URL | mlpro-2.2.1.tar.gz |
|---|---|
| Size | 382.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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Transparency logRelease files / mlpro-2.2.1-py3-none-any.whl
| Download URL | mlpro-2.2.1-py3-none-any.whl |
|---|---|
| Size | 517.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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