A machine learning approach to diffraction patterns.
Check out the webpage to see documentation and research!
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Train model with default configuration
# train on CPU
python src/train.py trainer=cpu
# train on GPU
python src/train.py trainer=gpu
Train model with chosen experiment configuration from configs/experiment/
python src/train.py experiment=experiment_name.yaml
You can override any parameter from command line like this
python src/train.py trainer.max_epochs=20 data.batch_size=64
Create a sweep over hyperparameters
python train.py -m data.batch_size=32,64,128 model.lr=0.001,0.0005