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.

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.

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

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

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

pytorch tutorial for beginners

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

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

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

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

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"

PyTorch深度学习快速入门教程（绝对通俗易懂！）

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