autoencoders topic
Deep_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
Deep-Steganography
Hiding Images within other images using Deep Learning
GON
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Place-Recognition-using-Autoencoders-and-NN
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
cae
Compressive Autoencoder.
swae
Implementation of the Sliced Wasserstein Autoencoders
Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
wsae-lstm
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)