Preview

bremstrahlung_denoising.zip

README.md 8.5 kB
models
- 2026_equnet32
  - commandline_args.json 2.5 kB
  - lightning_logs
    - version_15713306
      - checkpoints
        
        last.ckpt 73.7 MB
        
        val_loss=4.574-train_loss=3.453-epoch=357.ckpt 73.7 MB
        
        val_loss=4.707-train_loss=3.447-epoch=312.ckpt 73.7 MB
        
        val_loss=4.838-train_loss=3.496-epoch=254.ckpt 73.7 MB
      - events.out.tfevents.1784021026.gp002.cluster.72920.0 305.9 kB
      - hparams.yaml 335.7 MB
src
- bremsstrahlung_denoising
  - colorscheme.py 95.5 kB
  - dataset.py 7.9 kB
  - equivariant_model.py 31.9 kB
  - inference_patchwise.py 7.2 kB
  - mmmUtils.py 58.9 kB
  - model.py 14.6 kB
  - sliding_window_inference.py 6.7 kB
  - utils.py 4.8 kB
- bremsstrahlung_denoising.egg-info
  - PKG-INFO 589 Bytes
  - SOURCES.txt 247 Bytes
  - dependency_links.txt 1 Byte
  - requires.txt 183 Bytes
  - top_level.txt 1 Byte
- requirements.txt 93 Bytes
- scripts
  - 01_data_preprocessing
    - patchwork.py 4.5 kB
  - 02_model_training
    - run_train.sh 2.4 kB
    - train.py 7.9 kB
  - 03_inference
    - inference_demo.py 2.6 kB
    - inference_on_tiles.py 3.5 kB
    - inference_runner.sh 220 Bytes
    - run_inference_on_tiles.sh 2.0 kB
  - 04_validation
    - Validation_check.py 6.3 kB
    - Validation_prepare.py 2.5 kB
    - Validation_results.py 1.6 kB
- setup.py 596 Bytes