AIBEDO
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  • Datasets
  • Physics Constraints
  • Preprocessing and Spherical Grid
  • Climate Dynamics
  • Marine Cloud Brightening
  • Evaluation
  • Visual Analysis System
  • AIBEDO Reports

Tutorials

  • Demo notebook

Code usage

  • Base AIBEDO class
  • Hybrid AI Model Architectures
  • Training and Testing
  • Interface
AIBEDO
  • Index
  • Edit on GitHub

Index

A | B | F | G | M | P | R | S

A

  • aibedo
    • module
  • aibedo.models
    • module
  • aibedo.models.MLP
    • module
  • aibedo.models.unet
    • module
  • AIBEDO_MLP (class in aibedo.models.MLP)

B

  • BaseModel (class in aibedo.models)

F

  • forward() (aibedo.models.BaseModel method)
    • (aibedo.models.MLP.AIBEDO_MLP method)
    • (aibedo.models.unet.SphericalUNet method)

G

  • get_datamodule() (in module aibedo.interface)
  • get_model() (in module aibedo.interface)
  • get_model_and_data() (in module aibedo.interface)

M

  • module
    • aibedo
    • aibedo.models
    • aibedo.models.MLP
    • aibedo.models.unet

P

  • postprocess_raw_predictions() (aibedo.models.BaseModel method)
  • predict() (aibedo.models.BaseModel method)

R

  • raw_outputs_to_denormalized_per_variable_dict() (aibedo.models.BaseModel method)
  • raw_predict() (aibedo.models.BaseModel method)
  • reload_and_test_model() (in module aibedo.test)
  • reload_model_from_config_and_ckpt() (in module aibedo.interface)
  • run_model() (in module aibedo.train)

S

  • SphericalUNet (class in aibedo.models.unet)

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