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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: about 2 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 (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-01-25T08:51:50.000Z (about 4 years ago)
- Last Synced: 2024-10-29T23:16:37.284Z (3 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 .
```