All Katas - ML Katas

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Custom Data Augmentation Pipeline

this month medium (<30 mins) | custom data augmentation transforms pipeline

Create a **custom data augmentation pipeline** using PyTorch's `transforms`. For a given dataset (e.g., a custom image dataset), implement a series of transformations like random rotation,...
Building a Custom `Dataset` and `DataLoader`

this month medium (<30 mins) | dataset dataloader custom data pipeline

Create a **custom `torch.utils.data.Dataset` class** to load a simple, non-image dataset (e.g., from a CSV file). The `__init__` method should read the data, `__len__` should return the total...