OpenML aims to democratize machine learning by creating an open, frictionless platform for accessing and sharing datasets, models, and experiments. Anytime, anywhere. It allows scientists to easily build on each other's work, learn from the past, and automate their workflows.
🙌 We could use your help!
Simply put, without our generous sponsors, OpenML would not be able to make all its resources and services available 🎉 for free 🎉 to the entire world. By donating to OpenML you further the project's mission to democratize machine learning research. Your donations will be used to run engaging community events such as 🚀 coding sprints and 👐 outreach activities, to enable 🎓 internships, and to maintain and improve our platform services, which require ☁️ compute and storage infrastructure, as well as 🖥️ technical development and maintenance.
With your support, we can bring OpenML to the next level, together! 🚀
1 sponsor has funded openml’s work.
This would allow us to expand our server infrastructure and run more coding sprints, making OpenML better for everyone. Thanks!
Meet the team
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Andreas Mueller amuellerScikit-learn core developer and principal research SDE at Microsoft Research.
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Joaquin Vanschoren joaquinvanschorenAssistant professor at TU Eindhoven, OpenML core developer
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janvanrijnAssistant professor at Leiden University, OpenML core developer
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Pieter Gijsbers PGijsbersResearch engineer, core developer of OpenML, GAMA, and the AutoML Benchmark
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Sahithya Ravi sahithyaraviPhD student and contributor to OpenML APIs and infrastructure
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Bilge Celik BilgecelikPhD student working on continual Automated Machine Learning
Featured work
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openml/openml-python
OpenML's Python API for a World of Data and More 💫
Python 284 -
openml/openml.org
New OpenML website
JavaScript 25 -
openml/openml-r
R package to interface with OpenML
HTML 96 -
openml/automlbenchmark
OpenML AutoML Benchmarking Framework
Python 409