Metadata-Version: 2.1
Name: kagglerecipes
Version: 0.0.5
Summary: Useful code for different Kaggle competitions. Currently covering RSNA-MICCAI Brain Tumor Radiogenomic Classification Kaggle competition.
Home-page: https://github.com/ayulockin/kagglerecipes/tree/main/
Author: W&B Internal Team
Author-email: mein2work@gmail.com
License: MIT License
Description: # Kaggle Recipes
        
        
        
        
        ![kaggle_wandb.png](https://github.com/ayulockin/kagglerecipes/blob/master/nbs/data/images/kaggle_wandb.png)
        
        ## What's New
        
        
        
        #### Sept 2, 2021
        
        - Release version 0.0.3
        
        - Added support for multiprocessing to extract DICOM metadata for RSNA-MICCAI Brain Tumor Classification competition.
        
        - Bug fixes. 
        
        
        
        #### Aug 27, 2021
        
        - Released the library on PyPI.
        
        - Easily create voxel manipulated dataset for RSNA-MICCAI Brain Tumor Classification competition. 
        
        - Extract dicom metadata. 
        
        - Added utilities to log dataframe as tables and files/directory as artifacts. 
        
        - Added utiities to log basic W&B charts (line, bar, and scatter).
        
        ## Kaggle Competitions
        
        - [RSNA-MICCAI Brain Tumor Radiogenomic Classification](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification)
        
        ## Code & Scripts
        
        
        
        #### RSNA-MICCAI Brain Tumor Radiogenomic Classification
        
        - LINK TO NOTEBOOK
        
        ## Install
        
        `pip install kagglerecipes`
        
        ## Sample Datasets 
        
        
        
        We have also logged smaller subsets of Kaggle commpeition datasets local development and fast prototyping. 
        
        
        
        #### RSNA-MICCAI Brain Tumor Radiogenomic Classification
        
        * Download it manually from [here](https://wandb.ai/wandb_fc/rsna-miccai-brain/artifacts/dataset/sample/0c38392ee79fd5f85e97/files).
        
        * Or download it using this code snippet.
        
          ```
        
          import wandb
        
          run = wandb.init()
        
          artifact = run.use_artifact('wandb_fc/rsna-miccai-brain/sample:v0', type='dataset')
        
          artifact_dir = artifact.download()
        
          ```
        
        ## Credits
        
        
        
        The code in this repository is a combination of many of the Kagglers' work that they have shared publicly as Kaggle kernels.
        
        
        
        * [Connecting voxel spaces](https://www.kaggle.com/boojum/connecting-voxel-spaces) by [Michael Beregov](https://www.kaggle.com/boojum)
        
        * [Normalized Voxels: Align Planes and Crop](https://www.kaggle.com/ren4yu/normalized-voxels-align-planes-and-crop) by [yu4u](https://www.kaggle.com/ren4yu)
        
        * [DICOM to 2D Resized Axial PNGs 256x256 [x36]](https://www.kaggle.com/smoschou55/dicom-to-2d-resized-axial-pngs-256x256-x36) by [Sofia Moschou](https://www.kaggle.com/smoschou55)
        
Keywords: wandb kaggle-competition brain-tumor-classification
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
