Useful code for different Kaggle competitions. Currently covering RSNA-MICCAI Brain Tumor Radiogenomic Classification Kaggle competition.
Project description
Kaggle RSNA-MICCAI Brain Tumor
Useful code and scripts for the RSNA-MICCAI Brain Tumor Radiogenomic Classification Kaggle competition
This file will become your README and also the index of your documentation.
Install
pip install brain_tumor
Library Structure:
- data
- utils
- preprocess
- postprocess
- viz
- train
Sample Dataset
We are using a subset of dataset for local development and fast prototyping.
-
Download it manually from here.
-
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()
How to use
Fill me in please! Don't forget code examples:
# 1+1
2
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file kagglerecipes-0.0.1.tar.gz
.
File metadata
- Download URL: kagglerecipes-0.0.1.tar.gz
- Upload date:
- Size: 14.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2cdcfb39bb3953caf8a19fbcf2766dcb771c16f0270daa08cb49d7777700ac2c |
|
MD5 | e5f92416d839a47b2e51c05ff2b89015 |
|
BLAKE2b-256 | 41b48b38e2e58846f442ee18df231267a3012128bb9d303395fb62feea504000 |
File details
Details for the file kagglerecipes-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: kagglerecipes-0.0.1-py3-none-any.whl
- Upload date:
- Size: 13.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 21bb98f07900f6e8712b028cda0e929ccc51d6c0429895a064f1cd94d9c2874d |
|
MD5 | 4c79d0e441ec23a2a6a7141ca13327a1 |
|
BLAKE2b-256 | b77557d0ea60e17f4eec5d29b48db7b3e62770b1704eac923fdaf3a5a2c102f3 |