kaggle_moa_winner_hungry_for_gold:Kaggle动作机制（MoA）预测的成功解决方案 （126个子文件） 
submission-resnest-v2.csv 15.83MB submission-resnest-v2.csv 15.83MB submission-effnet-v7-b3.csv 15.81MB submission-effnet-v7-b3.csv 15.81MB submission-resnest-v1.csv 15.8MB submission-2heads-resnest.csv 15.8MB submission.csv 15.74MB submission.csv 15.7MB submission-simplenn-old-split.csv 15.7MB submission-3stagenn-10folds.csv 15.7MB submission-2heads-ResNest.csv 15.7MB submission-3stage-nn.csv 15.69MB submission-2stagenn-tabnet.csv 15.68MB submission-simplenn-new-split.csv 15.68MB .gitignore 2KB blend_search_optuna_v2.ipynb 916KB blend_eda_v6.ipynb 600KB kibuna-nn-hs-1024-last-train-markpeng.ipynb 578KB kibuna-nn-hs-1024-last-train.ipynb 571KB blend_eda_v7.ipynb 452KB nn model with non scored [chris split].ipynb 338KB nn model with non scored[old cv].ipynb 321KB nn-model-without-non-scored[chris split].ipynb 271KB deepinsight-efficientnet-lightning-v7-b3-train.ipynb 270KB deepinsight-efficientnet-lightning-v7-b3-train.ipynb 270KB deepinsight_efficientnet_lightning_v7_b3.ipynb 270KB deepinsight_resnest_lightning_v2_drug_id.ipynb 264KB deepinsight-resnest-lightning-v2-train.ipynb 261KB deepinsight-resnest-lightning-v2-train.ipynb 261KB deepinsight_resnest_lightning_v2.ipynb 261KB deepinsight-resnest-lightning-v1-train.ipynb 260KB deepinsight_resnest_lightning_v1.ipynb 260KB deepinsight_efficientnet_lightning_v7_b3_drug_id.ipynb 257KB final-best-lb-cleaned.ipynb 251KB fork-of-blending-with-6-models-5old-1new.ipynb 250KB blending-with-6-models-5old-1new.ipynb 249KB deepinsight_resnest_lightning_v1_drug_id.ipynb 246KB blend_eda_final.ipynb 231KB simple-nn-using-old-cv-markpeng.ipynb 223KB pytorch-transfer-learning-with-k-folds-by-drug-ids (1).ipynb 221KB simple-nn-using-old-cv.ipynb 220KB blend-search-optuna-v7.ipynb 203KB nn model without non scored[old cv].ipynb 202KB blend_search_optuna_v6_per_target.ipynb 197KB final-best-CV-cleaned.ipynb 179KB tabnet-training-10folds-1-seed.ipynb 155KB 2stage-nn-tabnet-inference.ipynb 141KB deepinsight_efficientnet_lightning_v9_b0_drug_id.ipynb 140KB deepinsight_efficientnet_lightning_v9_b3_drug_id.ipynb 123KB blend_search_optuna_v1.ipynb 113KB improving-mark-s-2-heads-model-infer.ipynb 102KB fork-of-2heads-looper-super-puper-markpeng-infer.ipynb 98KB fork-of-2heads-looper-super-puper-markpeng.ipynb 91KB 2heads-ResNest-train.ipynb 91KB deepinsight_efficientnet_lightning_v10_b3.ipynb 80KB improving-mark-s-2-heads-model.ipynb 68KB 2heads-resnest-train.ipynb 68KB blend_search_optuna_v7.ipynb 49KB 2stagenn-tabnet-train.ipynb 40KB 3-stagenn-train.ipynb 36KB 3stagenn-10folds-train.ipynb 36KB blend_search_optuna_v6.ipynb 34KB blend_search_optuna_v3.ipynb 24KB blend_search_optuna_v4.ipynb 23KB blend_search_optuna_v5.ipynb 23KB simple-nn-using-old-cv-train.ipynb 22KB simple-nn-new-split-train.ipynb 22KB main_predictors.json 26KB main_predictors.json 26KB LICENSE 11KB README.md 6KB README.md 1KB oof_deepinsight_efficientnet_lightning_v7_b3_0.01850.npy 37.43MB oof_NN_oldcv_10fold.npy 37.43MB oof_script_simpleNN_oldcv.npy 37.43MB oof_2stageNN_ns_oldcv_10folds.npy 37.43MB oof_supervised_tabnet_v2_seeds_0.014939561499719265.npy 37.43MB oof_deepinsight_ResNeSt_v2_resnest50_0.01854.npy 37.43MB oof_deepinsight_ResNeSt_v1_resnest50_0.014619621213185928.npy 37.43MB oof_nn_ns_newcv.npy 34.49MB oof_improving-mark-s-2-heads-model_0.015660083675738144.npy 34.49MB oof_2stageNN_ns_oldcv.npy 34.49MB oof_fork-of-2heads-looper-super-puper-markpeng.npy 34.49MB oof_tabnet_ns_oldcv.npy 34.49MB
moa_hungry_for_gold_winning_solution_writeup.pdf 1.07MB blend_search_optuna_v6_per_target_0.015043750643197006.pkl 13KB supervised_tabnet_v2_seeds_infer.py 121KB deepinsight-efficientnet-lightning-v7-b3-inference.py 55KB deepinsight_efficientnet_lightning_v7_b3_infer.py 55KB deepinsight-efficientnet-lightning-v7-b3-inference.py 55KB deepinsight-efficientnet-lightning-v7-b3-inference.py 54KB deepinsight-efficientnet-lightning-v7-b3-train.py 54KB deepinsight-resnest-lightning-v2-inference.py 48KB deepinsight_resnest_lightning_v2_infer.py 48KB deepinsight-resnest-lightning-v2-inference.py 48KB deepinsight-resnest-lightning-v2-inference.py 48KB deepinsight-resnest-lightning-v2-train.py 47KB deepinsight-resnest-lightning-v1-inference.py 47KB deepinsight_resnest_lightning_v1_infer.py 47KB 2stageNN_with_ns_oldcv.py 39KB共 126 条
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