Approximate Bayesian Inference for Scaling and Merging at Advanced Lightsources
Scaling and merging for large diffraction datasets using stochastic variational inference and deep learning.
This project is under development.
For the CPU version, run
pip install --upgrade pip
pip install git+https://github.com/rs-station/abismalFor NVIDIA CUDA support, we recommend you use the anaconda python distribution. The following will create a new conda environment and install abismal:
source <(curl -s https://raw.githubusercontent.com/rs-station/abismal/main/install.sh)You can now use abismal with GPU acceleration by running conda activate abismal