Python module to interface with OpenML
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Updated
Sep 9, 2024 - Python
Python module to interface with OpenML
R package to interface with OpenML
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
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
Python-based Feedzai OpenML Providers
Connect mlr3 with OpenML
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.
Pytorch extension for openml-python
Use the command line tool `openml` to interact with the official API of OpenML.
Tensorflow extension for openml-python
A mobile application to translate hieroglyphics 𓂀𓀀 (2018)
Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
MLPro: Integration OpenML
A tool that can be used to investigate the data in the OpenML platform.
The supervisor repo for task 2 of the "Analyzing Big Data Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2019.
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