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 (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-03-20T04:53:12.000Z (over 3 years ago)
- Last Synced: 2025-03-29T17:11:14.179Z (8 months ago)
- Language: Jupyter Notebook
- Size: 3.59 MB
- Stars: 470
- Watchers: 13
- Forks: 73
- Open Issues: 4
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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)