Web Reference: Nov 13, 2025 · PyTorch, a popular deep learning framework, can be used in combination with Bayesian optimization libraries to perform tasks like hyperparameter tuning for neural networks. Built on PyTorch Easily integrate neural network modules. Native GPU & autograd support. Ray Tune is a library built on Ray for hyperparameter tuning that enables you to scale a hyperparameter sweep from your machine to a large cluster with no code changes. This tutorial adapts the PyTorch tutorial for training a CIFAR10 classifier to run multi-GPU hyperparameter sweeps with Ray Tune.
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