├── .gitignore ├── README.md ├── configs ├── celeba │ ├── baseline_resnet.yaml │ ├── innout.yaml │ ├── input_model_p1.yaml │ └── output_model_p1.yaml ├── cropland │ ├── unet_prediction_indianakentuckyood.yaml │ ├── unet_pretrain_indianakentuckyood.yaml │ └── unet_selftrain.yaml └── landcover │ ├── CNN1D.yaml │ ├── CNN1DPretrain.yaml │ └── CNN1DSelfTrainInput.yaml ├── innout ├── __init__.py ├── data_utils │ ├── __init__.py │ └── download_google_drive.py ├── datasets │ ├── __init__.py │ ├── celeba.py │ ├── cropland.py │ ├── landcover.py │ ├── transforms.py │ └── utils.py ├── load_utils.py ├── losses.py ├── main.py ├── models │ ├── __init__.py │ ├── cnn1d.py │ ├── resnet.py │ └── unet.py ├── schedulers.py └── utils.py ├── innout_datasets.png ├── preprocessing ├── cropland_preprocessing.py └── download_era5_data_for_landcover.py ├── run_sbatch.sh ├── scripts ├── celeba │ ├── combine_input_results.py │ ├── input_sklearn_p2.py │ ├── old_run_experiments.py │ └── run_experiments.py ├── cropland │ ├── cropland_exps.py │ ├── get_pseudolabels.py │ └── get_results_in_cl.py ├── get_pastable.py ├── get_pseudolabels.py └── landcover │ ├── get_results_in_cl.py │ ├── landcover_era5_exps.py │ └── run_cmds.sh └── setup.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/p-lambda/in-n-out/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/p-lambda/in-n-out/HEAD/README.md -------------------------------------------------------------------------------- /configs/celeba/baseline_resnet.yaml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/p-lambda/in-n-out/HEAD/configs/celeba/baseline_resnet.yaml 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