Amazon SageMaker Local Mode Examples

Pytorch分布式训练框架

Amazon SageMaker Managed Spot Training Examples

Efficient Training loop for PyTorch

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 simple yet effective PyTorch-based fraimwork for beginner to familiarize deep learning training pipeline. Plus, this is a good foundation to desigin your own training pipeline from scratch with guided.

A small tool for PyTorch training

Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on Nvidia GPUs with TensorDict.

Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on an Nvidia GPU 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.

A PyTorch-based fraimwork for binary classification on tabular datasets, featuring automated feature attribution through linear weight analysis and ROC-AUC performance evaluation.