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

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

pytorch tutorial for beginners

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

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

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

A community run, 5-day PyTorch Deep Learning Bootcamp

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

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

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

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

Implementing Siamese networks with a contrastive loss for similarity learning

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

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Kind PyTorch Tutorial for beginners

This is an open sourced book on deep learning.

🔥 Reproducibly benchmarking Keras and PyTorch models

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！

Pytorch seq2seq chatbot

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Pytorch starter kit for Kaggle competitions

Check out improved:

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

Pytorch implementation of convolutional neural network adversarial attack techniques

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A best practice for deep learning project template architecture.

Early stopping for PyTorch