A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)

Convolutional Autoencoders for Anomaly Detection to Reduce Bandwidth in Streaming Video

Written digits images classification with Convolutional Autoencoders in Keras

Code for the paper "Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders"

Thesis and supplementary material for "SVBRDF Texture Synthesis with Convolutional Autoencoders".

This repo contains a Pytorch implementation of Convolutional Autoencoder, used for converting grayscale images to RGB.

Repository containing experimental code for Variational Autoencoders

Implementation of Vanilla and Convolutional Autoencoders

AutoEncoders -TF -Keras - Fashion_MNIST

This project integrates Autoencoders, PCA, and CNNs for efficient image processing, combining dimensionality reduction, denoising, and enhanced feature extraction for image analysis and compression.