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vanilla-autoencoder

Here are 5 public repositories matching this topic...

ALPHAYA-Japan / autoencoders

Collection of autoencoder models in Tensorflow

vanilla tensorflow ae autoencoder convolutional-autoencoder sparse-autoencoder stacked-autoencoder vanilla-autoencoder denoising-autoencoder regularized-autoencoder autoencoder-models

Updated Nov 30, 2019
Python

jaydeepthik / vanilla-autoencoder

simple keras based vanilla autoencoder for recreating MNIST with a 10 dimension bottleneck

deep-learning mnist convolutional-neural-networks vanilla-autoencoder

Updated Jun 16, 2018
Python

Autoencoders

SURESHBEEKHANI / Autoencoders

This project is a practice implementation of an autoencoder, The primary use case for this autoencoder is for anomaly detection in sales data, but it can be adapted for other purposes. The autoencoder compresses the input data into a lower-dimensional representation and then reconstructs the original input from this representation.

machine-learning deep-learning image-processing neural-networks autoencoder data-compression convolutional-autoencoder generative-models latent-space vanilla-autoencoder denoising-autoencoder data-reconstruction variational-autoencode

Updated Jul 11, 2024
Jupyter Notebook

cbanerji / Deep_generative_models

Collection of deep generative model implementations and experiments.

autoencoders latent-variable-models variational-autoencoder custom-dataset pytorch-implementation vanilla-autoencoder

Updated Aug 9, 2022
Jupyter Notebook

HH197 / Unsupervised-cell-population-identification

Unsupervised cell population identification using three steps: pre-processing, dimension reduction, and clustering.

deep-learning clustering pca autoencoder unsupervised-learning principal-component-analysis dimension-reduction vanilla-autoencoder

Updated Dec 12, 2022
Jupyter Notebook

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