There are 2 repositories under sparse-autoencoder topic.
Implementation of the stacked denoising autoencoder in Tensorflow
Pytorch implementations of various types of autoencoders
Tensorflow Examples
Experiments with Adversarial Autoencoders using Keras
Sparse Auto Encoder and regular MNIST classification with mini batch's
Repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA) to calculate propensity score using sparse autoencoder
Collection of autoencoder models in Tensorflow
Implemented semi-supervised learning for digit recognition using Sparse Autoencoder
Neural Network Architcture | ISI Kolkata
This repository contains Python codes for Autoenncoder, Sparse-autoencoder, HMM, Expectation-Maximization, Sum-product Algorithm, ANN, Disparity map, PCA.
Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..
Sparse Autoencoder based on the Unsupervised Feature Learning and Deep Learning tutorial from the Stanford University
Implement a sparse autoencoder on the bot-iot dataset for dimensionality reduction followed by computation of reconstruction error, F1 score, recall, accuracy, weights, and threshold amongst other metrics