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:
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mlpro-2.2.0.tar.gz.
File metadata
- Download URL: mlpro-2.2.0.tar.gz
- Upload date:
- Size: 382.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
855f2daeee82e8b02c4897c151333479ad500d0b747519f2e7cc06edabbafb7d
|
|
| MD5 |
b7bc241789a51788db14f9115bdf6293
|
|
| BLAKE2b-256 |
b61545771ed3c6da240fddb33526a8242544b9433e1b1a9d45b40d32d872b513
|
Provenance
The following attestation bundles were made for mlpro-2.2.0.tar.gz:
Publisher:
pypi_deploy.yml on blueaic/mlpro
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
mlpro-2.2.0.tar.gz -
Subject digest:
855f2daeee82e8b02c4897c151333479ad500d0b747519f2e7cc06edabbafb7d - Sigstore transparency entry: 2565351886
- Sigstore integration time:
-
Permalink:
blueaic/mlpro@3a90a4dfc635b8c7612cf5cc2f61f50984e44729 -
Branch / Tag:
refs/tags/v2.2.0 - Owner: https://github.com/blueaic
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
pypi_deploy.yml@3a90a4dfc635b8c7612cf5cc2f61f50984e44729 -
Trigger Event:
release
-
Statement type:
File details
Details for the file mlpro-2.2.0-py3-none-any.whl.
File metadata
- Download URL: mlpro-2.2.0-py3-none-any.whl
- Upload date:
- Size: 517.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
85ea9a4f3a205c45ac4382c6a503dc38668a2f03f621ae0e37908a816a594398
|
|
| MD5 |
073bda71fc401416be627bf484c21d43
|
|
| BLAKE2b-256 |
96e840e9a4a2605c3c919a6033fcad63e97a5efaa14f8a6bb1e3c3e9af70da75
|
Provenance
The following attestation bundles were made for mlpro-2.2.0-py3-none-any.whl:
Publisher:
pypi_deploy.yml on blueaic/mlpro
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
mlpro-2.2.0-py3-none-any.whl -
Subject digest:
85ea9a4f3a205c45ac4382c6a503dc38668a2f03f621ae0e37908a816a594398 - Sigstore transparency entry: 2565351923
- Sigstore integration time:
-
Permalink:
blueaic/mlpro@3a90a4dfc635b8c7612cf5cc2f61f50984e44729 -
Branch / Tag:
refs/tags/v2.2.0 - Owner: https://github.com/blueaic
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
pypi_deploy.yml@3a90a4dfc635b8c7612cf5cc2f61f50984e44729 -
Trigger Event:
release
-
Statement type:
