There are 50 repositories under pytorch-tutorial topic.
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
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.
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
This is code of book "Learn Deep Learning with PyTorch"
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
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
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！
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Early stopping for PyTorch
A best practice for deep learning project template architecture.
Implementing Siamese networks with a contrastive loss for similarity learning
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Github repo with tutorials to fine tune transformers for diff NLP tasks
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
This is an open sourced book on deep learning.
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Kind PyTorch Tutorial for beginners