93 Open source projects that are alternatives of or similar to Pytorch Beginner

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Pytorch starter kit for Kaggle competitions

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

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Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

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

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）

All My Pytorch projects reside here

Example code to create and train a Pytorch model using the new C++ frontend.

PyTorch深度学习快速入门教程（绝对通俗易懂！）

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch

Demo code for Attention-Aware Generative Adversarial Networks paper

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

用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）

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Awesome Pytorch Tutorials

PyTorch KR Tutorial Competition 2018

Notebooks for learning about the layers of a convolutional neural network.

Implementation of Conditional Generative Adversarial Networks in PyTorch

Numerical Computation of Receptive Field in Pytorch

Pytorch implementation of DeepDream on VGG16 Network

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Duke Natural Language Processing Winter School 2020

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

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

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

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI