Popular GitHub Repositories for Pytorch Tutorial

PyTorch Tutorial for Deep Learning Researchers

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Lab Materials for MIT 6.S191: Introduction to Deep Learning

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

This is code of book "Learn Deep Learning with PyTorch"

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Implementing Siamese networks with a contrastive loss for similarity learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution