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ECMWFCode4Earth's repositories
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config
images
nb_ensemble_eval.ipynb
nb_heatwave.ipynb
nb_performance_over_lead_time.ipynb
nb_results.ipynb
nb_spectral_analysis.ipynb
nb_test_predictions.ipynb
.gitignore
.gitmodules
.pre-commit-config.yaml
LICENSE
README.md
benchmark
dm_zoo
env_data.yml
env_eval.yml
env_model.yml
pyproject.toml
s10_write_predictions_vae.py
s11_train_LFD.py
s12_write_predictions_LFD.py
s13_write_predictions_iterative.py
s14_very_long_iterative_run.py
s1_write_dataset.py
s2_train_conditional_pixel_diffusion.py
s3_write_predictions_conditional_pixel_diffusion.py
s4_train_val_test.py
s5_train_FourCastNet.py
s6_write_predictions_FourCastNet.py
s7_train_unet.py
s8_write_predictions_unet.py
s9_train_vae.py
submit_script_10_inference_vae.sh
submit_script_11_train_LFD.sh
submit_script_12_inference_LFD.sh
submit_script_13_inference_iterative.sh
submit_script_14_inference_iterative_very_long.sh
submit_script_1_dataset_creation.sh
submit_script_2_run_model.sh
submit_script_3_inference.sh
submit_script_4_eval_epoch.sh
submit_script_5_train_FourCastNet.sh
submit_script_6_inference_fourcastnet.sh
submit_script_7_train_unet.sh
submit_script_8_inference_UNet.sh
submit_script_9_train_vae.sh