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Top 94 pytorch-tutorial open source projects

Blitz Bayesian Deep Learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Capsule net pytorch
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Pytorch Nlp Notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Thinking In Tensors Writing In Pytorch
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
Pytorch Image Classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
A Pytorch Tutorial To Sequence Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
fast-style-transfer-tutorial-pytorch
Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.
Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn
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)
pytorch
All My Pytorch projects reside here
pytorch-cpp-tutorial
Example code to create and train a Pytorch model using the new C++ frontend.
pytorch-tutorial
PyTorch深度学习快速入门教程(绝对通俗易懂!)
tutorials-kr
🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
pytorch-examples-cn
用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)
Tutorial-Competition-2018
PyTorch KR Tutorial Competition 2018
intro-computervision
Notebooks for learning about the layers of a convolutional neural network.
Pytorch-conditional-GANs
Implementation of Conditional Generative Adversarial Networks in PyTorch
Text-Classification-LSTMs-PyTorch
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.
pytorch-accelerated
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/
61-94 of 94 pytorch-tutorial projects