Installation
CAREamics is available as a PyPI and conda-forge package. We recommend using CAREamics with uv, but we also provide instructions for mamba.
Warning
Having access to GPU is highly recommended for running any deep-learning, but note that PyTorch installation depends on the system and CUDA version.
Therefore, should you encounter issues installing CAREamics, first make sure that you can install a compatible version of PyTorch with GPU support.
- PyTorch supported versions:
check
torchin ourdependencies. - Installing PyTorch