RAISE CoE Training: Using OpenML for sharing datasets, algorithms, and experiments

The CoE RAISE project develops a unique AI framework leveraging high-performance computing (HPC) environments to enable faster machine and deep learning model training. That benefits the CoE RAISE application use cases and many other scientific and engineering domains that adopt AI techniques. This seminar will introduce the OpenML platform as one option of CoE RAISE to link to the larger AI community and offer components from the unique AI framework to many researchers worldwide using OpenML. The seminar describes the approach of OpenML as an open platform for sharing machine learning datasets, algorithms, and experiments. In addition, the seminar discusses potential collaboration opportunities through interoperability between OpenML and CoE RAISE. Hence, the OpenML platform acts as one outreach channel to the international AI community, potentially leveraging open standards such as the Open Neural Network Exchange (ONNX). ---------- Timetable 00:00 – 19:39 | Welcome & Relevance of OpenML in CoE RAISE (Prof. Dr. Morris Riedel) 19:39 – 54:45 | OpenML Introduction (Joaquin Vanschoren) 54:45 – 1:30:46 | Q & A session ---------- Partner University of Iceland: https://english.hi.is Eindhoven University of Technology: https://www.tue.nl CoE RAISE: https://www.coe-raise.eu EuroCC: https://www.eurocc-access.eu Iceland for HPC: https://ihpc.is ---------- Social Media https://twitter.com/CoeRaise https://www.linkedin.com/company/coe-raise https://www.facebook.com/CoERAISE2021