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。

Build your neural network easy and fast, 莫烦Python中文教学

A resource for learning about Machine learning & Deep Learning

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch tutorial for beginners

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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

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

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

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

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

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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！

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

PyTorch深度学习快速入门教程（绝对通俗易懂！）

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

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.