Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.
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# How do I perform cross-validation and ensembling on Pytorch, and how can I integrate scikit-learn
After preparing my data and loading it to Pytorch's dataloader function, I am unable to integrate it with scikit-learn to perform techniques such as ensembling, k-fold cross-validation and stacking. This has really being my problem
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