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# pytorch-pl-hydra-templates | ||
Different template codes for Deep Learning with PyTorch. | ||
# Template codes for Deep learning with Pytorch | ||
This repo provides different pytorch implementation for training a deep learning model. It uses a simple classification task example for [CIFAR10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html) to show: | ||
1. A simple vanilla, [single-GPU implementation](#single-gpu-pytorch-implementation) | ||
2. A [multi-GPU, distributed data parallel implementation](multi-gpu-pytorch-implementation) | ||
3. A [Pytorch-ligtning implementation](pytorch-ligtning-implementation) along with tracking and visualization in TensorBoard | ||
4. A [Pytorch-ligtning Hydra implementation](pytorch-ligtning-hydra-implementation) for rapid experimentation and prototyping using new models/datasets | ||
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# Single-GPU implementation | ||
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# Multi-GPU distributed data parallel implementation | ||
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# Pytorch-lightning implementation | ||
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# Pytorch-lightning Hydra implementation | ||
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