https://github.com/t-vi/pytorch-tvmisc

Totally Versatile Miscellanea for Pytorch
https://github.com/t-vi/pytorch-tvmisc

Last synced: about 2 months ago
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Totally Versatile Miscellanea for Pytorch

• Host: GitHub
• URL: https://github.com/t-vi/pytorch-tvmisc
• Owner: t-vi
• License: mit
• Created: 2017-04-08T11:56:56.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-03-20T04:53:12.000Z (about 2 years ago)
• Last Synced: 2024-03-21T05:00:46.992Z (2 months ago)
• Language: Jupyter Notebook
• Size: 3.59 MB
• Stars: 450
• Watchers: 16
• Forks: 72
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Totally Versatile Miscellania for PyTorch

*Thomas Viehmann* 

This repository collects various things I have implmented for PyTorch

## Layers, autograd functions and calculations

- [2d Wavelet Transformation using PyTorch convolutions and coefficents from PyWavelet](misc/2D-Wavelet-Transform.ipynb)

- [Implicit Function Theorem and Implicit Functions in PyTorch](misc/Implicit_Functions_Pytorch.ipynb)

- [Wasserstein Distance of Histograms/Distributions](wasserstein-distance/Pytorch_Wasserstein.ipynb)

## Learning approaches

- [Gaussian Process Regression](misc/gaussian_process_regression_basic.ipynb) see also [candlegp](https://github.com/t-vi/candlegp), a more complete GP library for PyTorch

- [1d Gaussian Mixture Density Networks](misc/Mixture_Density_Network_Gaussian_1d.ipynb)

## Generative Adversarial Networks

Wasserstein GAN - See also my two [blog](http://lernapparat.de/improved-wasserstein-gan/) [posts](http://lernapparat.de/more-improved-wgan/)

on the subject

- [Semi-Improved Training of Wasserstein GAN](wasserstein-distance/Semi-Improved_Training_of_Wasserstein_GAN.ipynb)

- [Improved Training of Wasserstein GAN](wasserstein-distance/Improved_Training_of_Wasserstein_GAN.ipynb)