| {"model_name":"TropiCycloneNet","model_type":"tropicyclonenet","architectures":["TropiCycloneNet"],"framework":"PyTorch","domain":"tropical-cyclone","task":"multimodal-track-intensity-forecasting","implementation":{"entry_point":"model/tropicyclonenet.py","scope":"core-method engineering reproduction"},"architecture":{"history_steps":8,"forecast_steps":4,"interval_hours":6,"data1d_variables":["longitude","latitude","pressure","wind"],"data3d_shape":[1,81,81],"environment_features":73,"paper_generators":6,"core":["3D data encoder","1D LSTM encoder","environment-time attention","generator chooser","multiple decoder LSTMs"]},"data":{"name":"TCND","years":[1950,2021],"cyclones":3630,"basins":6,"spatial_resolution_degrees":0.25,"synthetic":true},"configuration_sources":["conf/config.yaml","model/tropicyclonenet.py","scripts/fake_data.py","scripts/train.py","scripts/inference.py","scripts/result.py"]} | |