im2sim is a library designed to simplify the development of ML-accelerated
digital twins based on medical images.
This includes two main components:
- Deep Learning (DL) frameworks based on PyTorch and PyTorch Geometric
- Mesh processing frameworks based on VTK and PyVista
- Image and Mesh Data Processing
- DL models for medical imaging applications
- DL models for digital twin applications
- Hybrid DL models for simulation outputs directly from images
- Building blocks for custom DL models
- Visualisation utilities
- Install the CUDA dependencies:
pip install torch-scatter torch-cluster \
-f https://data.pydata.org/whl/torch-2.3.1+cu121.html- Install the repository:
pip install git+https://github.com/mrphys/im2sim.git