This is our team's code for the 2019 NeurIPS Reproducibility Challenge. We replicated a subset of results from "Transfusion: Understanding Transfer Learning for Medical Imaging" by Raghu et al. . This repo contains pytorch-lightning implementations of ResNet50 and InceptionV3 trainers for the Kaggle Diabetic Retinopathy Challenge dataset, with easy transfer learning. All hyperparameters are assigned according to the original paper https://arxiv.org/pdf/1902.07208.pdf
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This is our team's code for the 2019 NeurIPS Reproducibility Challenge. We replicated a subset of results from "Transfusion: Understanding Transfer Learning for Medical Imaging" by Raghu et al. . This repo contains pytorch-lightning implementations of ResNet50 and InceptionV3 trainers for the Kaggle Diabetic Retinopathy Challenge dataset, with e…
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PasqualeZingo/TransfusionReproducibilityChallenge
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This is our team's code for the 2019 NeurIPS Reproducibility Challenge. We replicated a subset of results from "Transfusion: Understanding Transfer Learning for Medical Imaging" by Raghu et al. . This repo contains pytorch-lightning implementations of ResNet50 and InceptionV3 trainers for the Kaggle Diabetic Retinopathy Challenge dataset, with e…
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