Efficiently Extract, Transform, and Load your dataset into PyTorch models
If you're working on classification problem, with dataset that is available in their native format (jpg, bmp, etc) and have PyTorch in your arsenal, you'll most likely feel that the DatasetFolder or ImageFolder is not good enough. So does vanilla torch.utils.data.Dataset. This library attempts to bridge that gap to effectively Extract, Transform, and Load your data by extending torch.utils.data.Dataset.
Extract class would partition your dataset into train, validation, and test csv
TransformAndLoad class would Transform and consume your dataset efficiently
Python 3.7.2 (other versions might work if type checking is supported)
Or simply download requirements.txt and fire 'pip3 install -r requirements.txt'
pip3 install torchetl
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