OpenML's Python API for a World of Data and More 💫
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Updated
May 11, 2026 - Python
OpenML's Python API for a World of Data and More 💫
R package to interface with OpenML
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
API for Feedzai's Open Machine Learning that allows to integrate ML algorithms in Feedzai's platform.
Learn how to use OpenML for reproducible, collaborative machine learning projects
Connect mlr3 with OpenML
Pytorch extension for openml-python
Python-based Feedzai OpenML Providers
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
A framework to find better ensembles for (Automated) Machine Learning
Implementations for Feedzai's OpenML APIs to allow for usage of machine learning models in the R programming language.
Use the command line tool `openml` to interact with the official API of OpenML.
A mobile application to translate hieroglyphics 𓂀𓀀 (2018)
Tensorflow extension for openml-python
Fairfluence is a modular Python library for data profiling, outlier detection and fairness analysis in tabular machine learning datasets. It combines classical statistical techniques with influence functions to help identify data points that degrade model performance or introduce bias.
Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
MLPro: Integration OpenML
Quickly compare machine learning models across libraries and datasets.
An AutoML framework for classical machine learning algorithms, automating model selection and hyperparameter tuning through Bayesian optimization, portfolio-based meta-learning, and multi-fidelity evaluation using Successive Halving.
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