Kaggle-SIIM-ISIC-Melanoma-Classification

Libraries used:

Regarding the libraries, all rights belong to their respective owners.

Best Private Score achieved:

2x EfficientNet B0: 0.9200 AUC with 512x512 imagesize No Metadata, TTA and Pseudolabelling was used, ~Top 58% Rank

*TPU code has some issues where model trained with TPU, loaded on CPU for inference gave really bad public LB scores but decent CV score.

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
SIIM_ISIC_Melanoma_Classification.ipynb		SIIM_ISIC_Melanoma_Classification.ipynb
SIIM_ISIC_Metadata.ipynb		SIIM_ISIC_Metadata.ipynb
TPU_SIIM_ISIC_Melanoma_Classification.ipynb		TPU_SIIM_ISIC_Melanoma_Classification.ipynb
augmentations.py		augmentations.py
dataset.py		dataset.py
gpu_train_config.yaml		gpu_train_config.yaml
loss.py		loss.py
metric.py		metric.py
micro_setup.sh		micro_setup.sh
models.py		models.py
plots.py		plots.py
setup.sh		setup.sh
train_gpu.py		train_gpu.py
train_tpu.py		train_tpu.py