https://github.com/maxme1/gmm_linear

A Pytorch implementation of the paper "Processing of missing data by neural networks"
https://github.com/maxme1/gmm_linear

Last synced: 3 months ago
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A Pytorch implementation of the paper "Processing of missing data by neural networks"

• Host: GitHub
• URL: https://github.com/maxme1/gmm_linear
• Owner: maxme1
• Created: 2021-01-25T08:46:20.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-01-25T08:51:50.000Z (over 4 years ago)
• Last Synced: 2025-02-05T03:35:56.828Z (5 months ago)
• Language: Python
• Size: 1.95 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## A Pytorch implementation of the paper "Processing of missing data by neural networks".

This module is capable of processing inputs containing NaN values 

by approximating them with a Gaussian Mixture Model (GMM).

## Installation

```shell

git clone https://github.com/maxme1/gmm_linear

cd gmm_linear

pip install -e .

```