Amazon SageMaker Local Mode Examples
Pytorch分布式训练框架
Amazon SageMaker Managed Spot Training Examples
This is a comprehensive assignment to build a classifier in pytorch on famous MNIST dataset and is perfect to get basic understanding of pytorch like pytorch training and validation loops and dataset class in pytorch and dataloaders etc
This repository is best fit to get started with pytorch. It contains notebooks with implementation of cat and dog classifiers in simple using ANN (CNN). Purpose is to get the basic understanding of pytorch with training and validation and dataset class implementations don't mind the accuracy.
A small tool for PyTorch training
A simple yet effective PyTorch-based framework for beginner to familiarize deep learning training pipeline. Plus, this is a good foundation to desigin your own training pipeline from scratch with guided.
Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on Nvidia GPUs with TensorDict.
Enhanced Prodigy optimizer with ~21% GPU speedup, independent D estimation for multi-component models, and improved stability. Drop-in replacement for Prodigy with same API.
Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on an Nvidia GPU with TensorDict.
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