https://github.com/mrdvince/autoencoders
Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.
https://github.com/mrdvince/autoencoders
autoencoder autoencoders cnn convolution-autoencoders convolutional-neural-networks data-compression deeplearning dimensionality-reduction linear-autoencoders neural-networks python3 pytorch udacity udacity-nanodegree
Last synced: 12 months ago
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Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.
- Host: GitHub
- URL: https://github.com/mrdvince/autoencoders
- Owner: mrdvince
- Created: 2020-12-02T05:09:15.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-12-02T08:01:39.000Z (over 5 years ago)
- Last Synced: 2025-03-25T02:43:55.288Z (about 1 year ago)
- Topics: autoencoder, autoencoders, cnn, convolution-autoencoders, convolutional-neural-networks, data-compression, deeplearning, dimensionality-reduction, linear-autoencoders, neural-networks, python3, pytorch, udacity, udacity-nanodegree
- Language: Python
- Homepage:
- Size: 338 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Autoencoders
Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Building autoencoders using PyTorch.
## Simple Autoencoder
> Real images on top, generated at the bottom

## Convolutional Autoencoder
> Real images on top, generated at the bottom
Using interpolations inplace of transpose convolutions
