graphnet
A Deep learning library for neutrino telescopes
Language: python
Author: GitHub Repos (@github-repos)
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Files
- example_vertex_position_reconstruction_model.yml (yaml)
- configs ()
- datasets ()
- black.toml (toml)
- README.md (markdown)
- models ()
- docker ()
- gnn-benchmarking ()
- docs ()
- source ()
- _templates ()
- getting_started ()
- make.bat (plaintext)
- installation ()
- von_mises_fisher_mathematical_background.md (markdown)
- models ()
- examples ()
- 01_icetray ()
- getting_started.md (markdown)
- conf.py (python)
- 02_data ()
- 04_i3_module_in_native_icetray_example.py (python)
- 05_convert_i3_files_advanced.py (python)
- 03_weights ()
- 04_training ()
- 05_train_RNN_TITO.py (python)
- 07_train_normalizing_flow.py (python)
- 08_train_grit_model.py (python)
- 01_train_dynedge.py (python)
- 05_liquido ()
- 06_prometheus ()
- README.md (markdown)
- 07_km3net ()
- paper ()
- paper.md (markdown)
- LICENSE (plaintext)
- 02_plot_feature_distributions.py (python)
- 02_compare_sqlite_and_parquet.py (python)
- 03_i3_deployer_example.py (python)
- layout.html (html)
- dockerfile (dockerfile)
- training_classification_example_data_sqlite.yml (yaml)
- example_direction_reconstruction_model.yml (yaml)
- 01_convert_i3_files.py (python)
- README.md (markdown)
- example_energy_reconstruction_model.yml (yaml)
- 01_convert_h5.py (python)
- 01_convert_prometheus.py (python)
- 04_ensemble_dataset.py (python)
- 02_fit_bjoern_low_weights.py (python)
- 03_convert_parquet_to_sqlite.py (python)
- 01_convert_km3net.py (python)
- dev_lvl7_robustness_muon_neutrino_0000.yml (yaml)
- training_example_data_sqlite.yml (yaml)
- dynedge_PID_classification_example.yml (yaml)
- dynedge_position_custom_scaling_example.yml (yaml)
- NOTES.md (markdown)
- quick-start.html (html)
- README.md (markdown)
- 01_read_dataset.py (python)
- 04_train_multiclassifier_from_configs.py (python)
- 02_train_tito_model.py (python)
- 03_train_dynedge_from_config.py (python)
- 06_train_icemix_model.py (python)
- README.md (markdown)
- README.md (markdown)
- ATTRIBUTION.md (markdown)
- 01_fit_uniform_weights.py (python)
- README.md (markdown)
- apply.py (python)
- training_example_data_parquet.yml (yaml)
- dockerfile (dockerfile)