├── 1st Place ├── .dockerignore ├── Dockerfile ├── LICENSE ├── Makefile ├── README.md ├── configs │ ├── stage1-effb1-f0.yaml │ ├── stage1-effb1-f1.yaml │ ├── stage1-effb1-f2.yaml │ ├── stage1-effb1-f3.yaml │ ├── stage1-effb1-f4.yaml │ ├── stage1-srx50-f0.yaml │ ├── stage1-srx50-f1.yaml │ ├── stage1-srx50-f2.yaml │ ├── stage1-srx50-f3.yaml │ ├── stage1-srx50-f4.yaml │ ├── stage2-effb1-f0.yaml │ ├── stage2-effb1-f1.yaml │ ├── stage2-effb1-f2.yaml │ ├── stage2-effb1-f3.yaml │ ├── stage2-effb1-f4.yaml │ ├── stage2-srx50-f0.yaml │ ├── stage2-srx50-f1.yaml │ ├── stage2-srx50-f2.yaml │ ├── stage2-srx50-f3.yaml │ ├── stage2-srx50-f4.yaml │ ├── stage3-effb1-f0.yaml │ ├── stage3-effb4-f0.yaml │ ├── stage3-inrv2-f0.yaml │ ├── stage3-srx50-2-f0.yaml │ └── stage3-srx50-f0.yaml ├── data │ ├── interim │ │ └── .gitkeep │ ├── predictions │ │ └── .gitkeep │ ├── processed │ │ ├── .gitkeep │ │ ├── test_mosaic.csv │ │ └── train_folds.csv │ └── raw │ │ └── .gitkeep ├── docker-compose.yml ├── notebooks │ └── mosaic.ipynb ├── reports │ └── DrivenData-Competition-Winner-Documentation.pdf ├── requirements.txt ├── scripts │ ├── stage0_step0_prepare.sh │ ├── stage1_step1_prepare.sh │ ├── stage1_step2_train.sh │ ├── stage1_step3_predict.sh │ ├── stage2_step1_prepare.sh │ ├── stage2_step2_train.sh │ ├── stage2_step3_predict.sh │ ├── stage3_step1_prepare.sh │ ├── stage3_step2_train.sh │ └── stage3_step3_predict.sh └── src │ ├── data │ ├── __init__.py │ ├── cut_test.py │ ├── cut_train.py │ ├── generate_masks.py │ ├── resample.py │ └── stitch_test.py │ ├── datasets │ ├── __init__.py │ ├── datasets.py │ └── transforms.py │ ├── getters.py │ ├── predict.py │ ├── predict_tif.py │ ├── train.py │ └── training │ ├── __init__.py │ ├── _modules.py │ ├── base.py │ ├── callbacks.py │ ├── config.py │ ├── functional.py │ ├── losses.py │ ├── metrics.py │ ├── optimizers.py │ ├── predictor.py │ └── runner.py ├── 2nd Place ├── .gitignore ├── LICENSE ├── README.md ├── reports │ └── DrivenData-Competition-Winner-Documentation.pdf ├── requirements.txt ├── src │ ├── data │ │ ├── prepare_test.py │ │ └── prepare_train.py │ ├── dataset.py │ ├── lovasz_losses.py │ ├── metric.py │ ├── predict.py │ ├── prepare_pl.py │ ├── submit.py │ ├── train.py │ └── utils.py ├── submit.sh └── train.sh ├── 3rd Place ├── .gitignore ├── LICENSE ├── README.md ├── combine_images.py ├── config │ ├── combine.yaml │ ├── config.yaml │ ├── config_eval.yaml │ └── dataset.yaml ├── dataset.py ├── find_hyperparameters.py ├── inference.py ├── meter.py ├── model.py ├── models │ ├── .gitignore │ ├── get_models.sh │ └── minimize_model.py ├── optim.py ├── reports │ └── DrivenData-Competition-Winner-Documentation.pdf ├── requirements.txt ├── space_net_data.py └── train.py ├── LICENSE ├── README.md ├── Responsible AI Prize 1 ├── CatherineInness_Fairness_in_ML_for_DRM.pdf └── Responsible_AI_Questionnaire_Responses.pdf ├── Responsible AI Prize 2 ├── ChrisArderne_Stop_pretending_technology_is_value_neutral.pdf └── Responsible_AI_Questionnaire_Responses.pdf └── Responsible AI Prize 3 ├── AlexWeston_ThomasKavanagh_Contributed_Geographic_Information_Gray_Zones_in_Collection_and_Usage.pdf └── Responsible_AI_Questionnaire_Responses.pdf /1st Place/.dockerignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/drivendataorg/open-cities-ai-challenge/HEAD/1st Place/.dockerignore -------------------------------------------------------------------------------- /1st Place/Dockerfile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/drivendataorg/open-cities-ai-challenge/HEAD/1st Place/Dockerfile -------------------------------------------------------------------------------- /1st Place/LICENSE: -------------------------------------------------------------------------------- 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