IDAO_2021_oski
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2021-04-06
15:28:34
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IDAO_2021_oski-main.zip （56个子文件） 
IDAO_2021_oski-main experiments 
.dummy 0B notebooks .ipynb_checkpoints mean-teachers-find-more-birds-Copy1-checkpoint.ipynb 82KB training_pipeline-checkpoint.ipynb 70KB training_pipeline-Copy1-checkpoint.ipynb 186KB mean-teachers-find-more-birds-Copy2-checkpoint.ipynb 116KB EDA-checkpoint.ipynb 40KB mean-teachers-find-more-birds-Copy3-checkpoint.ipynb 87KB training_pipeline_balanced-checkpoint.ipynb 197KB training_pipeline_finetuning-checkpoint.ipynb 62KB mean-teachers-find-more-birds-checkpoint.ipynb 192KB test_predicts-checkpoint.ipynb 20KB debug-checkpoint.ipynb 22KB inference_pipeline-checkpoint.ipynb 9KB training_pipeline_balanced-Copy1-checkpoint.ipynb 201KB Convert Samplerate-checkpoint.ipynb 6KB inference_pipeline_balanced-checkpoint.ipynb 13KB analyze_predictions.ipynb 4KB inference_pipeline.ipynb 9KB training_pipeline.ipynb 28KB collab_training_pipeline_pseudolabeling_one_cell.ipynb 30KB .dummy 0B csv_generate.ipynb 21KB Ensemble.ipynb 6KB inference_pipeline1.ipynb 35KB run_pipeline.sh 126B src preprocessing.py 67B datasets.py 3KB __init__.py 0B models.py 8KB metrics.py 67B paths.py 24B pipeline_utils.py 23KB .dummy 0B scripts inference.py 7KB utils.py 4KB training_with_pseudo.py 16KB ensemble.py 4KB create_augmented_private.py 1KB
requirements.txt 94B predictions .dummy 0B config resnest50d_4s2x40d_1e-4_joint_BCE_L1_with_private_augmented_config.yaml 1KB resnest14d_1e-4_joint_BCE_L1_with_private_augmented_config.yaml 1KB .dummy 0B main.yml 549B tf_efficientnet_b0_ns_1e-4_joint_BCE_L1_with_private_augmented_config.yaml 1KB resnest50d_4s2x40d_1e-3_joint_BCE_L1_with_private_augmented_old_center_crop=150_config.yaml 1KB tf_efficientnet_b3_ns_1e-4_joint_BCE_L1_with_private_augmented_config.yaml 1KB README.md 629B data track1_predictions_example.csv 744KB train train_folds.csv 3.61MB val_private.csv 1KB train.csv 1.61MB widen_val_private.csv 1.47MB .dummy 0B test.csv 1.33MB .gitignore 2KB资源评论
