This repostiory houses generative models developed to generate HEP events.
You can find introductions of training
Generative Adversial Network
and Normaling Flow.
These modules are more or less standalone.
However, it needs a reader that reads the input files.
You can also find examples of converting trained GAN models into onnx format and performing the inference in C++ with onnxruntime.
Install the repository to get supports on reading files.
pip install -e .