https://github.com/gunhochoi/kind-pytorch-tutorial

Kind PyTorch Tutorial for beginners
https://github.com/gunhochoi/kind-pytorch-tutorial

deep-learning python pytorch pytorch-tutorial

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Kind PyTorch Tutorial for beginners

• Host: GitHub
• URL: https://github.com/gunhochoi/kind-pytorch-tutorial
• Owner: GunhoChoi
• Created: 2017-03-22T12:43:48.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-08T16:10:43.000Z (over 7 years ago)
• Last Synced: 2024-05-23T06:49:32.144Z (7 months ago)
• Topics: deep-learning, python, pytorch, pytorch-tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 31.8 MB
• Stars: 390
• Watchers: 10
• Forks: 105
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        






Requirements

-------------------------

- python 3.5.2

- Pytorch (http://pytorch.org/)

- Numpy

- matplotlib

Optional

--------------------------

- visdom (https://github.com/facebookresearch/visdom)

Table of contents

--------------------------

- [Pytorch Tensor Basics](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/01_Tensor_Basics/pytorch_tensor_basic.ipynb)

- [Variable and Automatic Gradient Calculation](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/02_Variable_Autograd/Variable_Autograd.ipynb)

- [Linear Regression Example (Loss & Optimizer)](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/03_Linear_Regression/Linear_Regression.ipynb)

- [MNIST CNN (cpu & gpu)](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/04_MNIST_CNN/MNIST_CNN.ipynb)

- [Input Pipeline & Pretrained Model](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/05_Input_Pipeline_Pretrained/Input_Pipeline_Pretrained.ipynb)

- [Autoencoder & Model Save](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/06_Autoencoder_Model_Save)

- [Denoising Autoencoder](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/tree/master/07_Denoising_Autoencoder)

- [Simple Character RNN](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/blob/master/08_Simple_Char_RNN/Simple_Char_RNN.ipynb)

- [Vanilla GAN (Layer naming & Multi gpu)](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/tree/master/09_GAN_LayerName_MultiGPU)

- [InfoGAN using Least Squares loss](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/tree/master/10_InfoGAN_Least_Squares_Loss)

- [Image Style Transfer using ResNet](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/tree/master/11_StyleTransfer_ResNet)

- [Semantic Segmentation (U-Net & Fusion-Net)](https://github.com/GunhoChoi/Kind_PyTorch_Tutorial/tree/master/12_Semantic_Segmentation)