TGS

Kaggle | My Solution for TGS Salt Identification Challenge

General

I recently participated in a Kaggle competition TGS Salt Identification Challenge. This repository contains the most of the code to train the Model.

The code was tested on P100.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
01_Solution_DataAug.ipynb		01_Solution_DataAug.ipynb
02_Solution.ipynb		02_Solution.ipynb
Copy_Pretrained_Model_to_Root		Copy_Pretrained_Model_to_Root
LICENSE		LICENSE
README.md		README.md
Solution_1.ipynb		Solution_1.ipynb
Solution_11_DicelLoss_in_solution5.ipynb		Solution_11_DicelLoss_in_solution5.ipynb
Solution_2_basic_U-Net.ipynb		Solution_2_basic_U-Net.ipynb
Solution_4_U-net_resnet.ipynb		Solution_4_U-net_resnet.ipynb
Solution_5_Pytorch_of_Solutiion4.ipynb		Solution_5_Pytorch_of_Solutiion4.ipynb
Solution_6_DicelLoss_in_solution5.ipynb		Solution_6_DicelLoss_in_solution5.ipynb
Solution_7_U_net_ResNet34_Pretrained.ipynb		Solution_7_U_net_ResNet34_Pretrained.ipynb
Solution_8_U_net_ResNet34_Pretrained_Freeze_Fitune.ipynb		Solution_8_U_net_ResNet34_Pretrained_Freeze_Fitune.ipynb
Solution_9_U_net_ResNet34_Pretrained_Freeze_Fitune_Bilinear.ipynb		Solution_9_U_net_ResNet34_Pretrained_Freeze_Fitune_Bilinear.ipynb
fastAI.ipynb		fastAI.ipynb
lovasz_losses.py		lovasz_losses.py
unet_models.py		unet_models.py
utils.py		utils.py
竞赛_1_语义分割模型.ipynb		竞赛_1_语义分割模型.ipynb