Code and materials from CCAI Summer School 2024
open_catalyst_project_an_introduction_to_machine_learning_for_material_discovery.py
land_use_land_cover_part2.py
land_use_land_cover_part1.py
building_load_forecasting_with_ml.py
ccai_seasonal_forecasting_with_exercises.py
automating_the_creation_of_lulc_datasets_for_semantic_segmentation.py
fourcastnet_a_practical_introduction_to_a_state_of_the_art_deep_learning_global_weather_emulator.py
climatelearn_machine_learning_for_predicting_weather_and_climate_extremes.py
citylearn_ccai_tutorial.py
quantus_x_climate_applying_explainable_ai_evaluation_in_climate_science.py
smart_meter_data_analytics_practical_use_cases_and_best_practices_of_machine_learning_applications_for_energy_data_in_the_residential_sector.py
ccai_summer_school_tutorial___mrv.py
part2_paris_prompts.py
part1_evidence_synthesis.py