Code Examples
The following guides provide comprehensive, end-to-end examples covering data loading, model training, and evaluation workflows. You can use various types of data loaders, including tf.data.Dataset, keras.utils.PyDataset, torch.utils.data.DataLoader, or even a custom Python generator function. These workflows are designed to be flexible and can run seamlessly on a single device or scale across multiple GPUs or TPUs, depending on your setup.
Segmentation: Available guides for 3D segmentation task.
| Task | GitHub | Kaggle |
|---|---|---|
| Covid-19 |  |
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| BTCV | |
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| BraTS | |
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| Spleen | |
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Classification: Available guides for 3D classification task.
| Task (Classification) | GitHub | Kaggle |
|---|---|---|
| Covid-19 | |
|