Kaggle sandbox

This is a simple template project to Kaggle participation...

Expected content:

• a core package with functionalities used across scripts and notebooks
• tutorial/experiment notebooks (in notebook folder if needed)
• [optional] some functionality testing aka unittests or doctests

What to write here:

• simple completion description + link
• shortly what task it is to solve
• list/link online sources
• link kernels/submissions

Showcases

Some derived projects

• Multiple image classification
  • Herbarium 2022
  • Plant Pathology 2021 - FGVC8 as multi-label classification on apple tree leaf
  • iMet Collection 2021 x AIC - FGVC8 as multi-label classification on museum objects
  • Cassava Leaf Disease Classification
  • etc.
• Multiple Image segmentation
  • Tract Image Segmentation as semantic 3D segmentation from MRI scans
  • Cell Instance Segmentation in microscopy images
  • etc.
• COVID detection as object detection on CT (DICOM format) scans
• Brain Tumor 3D as image classification on MRI scans

Author's writing

• Best Practices to Rank on Kaggle Competition with PyTorch Lightning and Grid.ai Spot Instances
• Practical Lighting Tips to Rank on Kaggle Image Challenges
• Tackling the Kaggle COVID Detection Challenge with Lightning Flash and IceVision
• Simple 3D MRI classification ranked bronze on Kaggle
• Tabular Classification and Regression Made Easy with Lightning Flash
• Easy Kaggle Offline Submission With Chaining Kernel Notebooks
• Kaggle hacking: Validate a simple hypothesis against a hidden dataset