itwinai is a Python toolkit designed to help scientists and researchers streamline AI and machine learning
workflows, specifically for digital twin applications. It provides easy-to-use tools for distributed training,
hyper-parameter optimization on HPC systems, and integrated ML logging, reducing engineering overhead and accelerating
research. Developed primarily by CERN, in collaboration with Forschungszentrum Jülich (FZJ), itwinai supports modular
and reusable ML workflows, with the flexibility to be extended through third-party plugins, empowering AI-driven scientific
research in digital twins.
See the latest version of our docs here.
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For instructions on how to install itwinai, please refer to the
user installation guide
or the
developer installation guide,
depending on whether you are a user or developer
For information about how to use containers or how to test with pytest, you can look at the following documents: