- MichMich MagicMirror, https://github.com/MichMich/MagicMirror
- https://www.makrmirror.io/
- https://www.tensorflow.org/lite
- https://pytorch.org/mobile/home/
- https://renode.io/
- https://antmicro.com/blog/2021/06/kenning-edge-ai-framework/
- https://antmicro.com/blog/2020/09/automatic-cpu-testing-with-embench/
- Open mobility data, https://openmobilitydata.org
- Crawdad datasets, https://crawdad.org/
- Microsoft geolife trajectories https://www.microsoft.com/en-us/download/details.aspx?id=52367
- OpenNebula https://docs.opennebula.io/6.0/quick_start/index.html
- Suggest yours!
- Sub-challenge EFPF1: Semantic matchmaking for the support of environmental monitoring of the shop-floor. You will be using the open-source EFPF TSMatch gateway to improve the existing apps, or to improve the interconnection between TSMatch and the EFPF Data spine.
- Sub-challenge EFPF2: Evaluate the EFPF SDK in developing digital smart manufacturing applications. You will be using the EFPF SDK studio to create applications.
- Sub-challenge EFPF3: Evaluate the usability of the Data Spine for the creation of composite applications. You will be testing the EFPF Data Spine and its usability, proposing specific improvements.
- Sub-challenge EFPF4: Analyse industrial data coming from EFPF partners and provide insights based on the EFPF analytics tools. You will be working with open-source Machine Learning Libraries and propose applications for the visualization and analysis of industrial data.