TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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 with WiFi fingerprints using Autoencoders and Neural Networks

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Hiding Images within other images using Deep Learning

The code for the MaD TwinNet. Demo page:

Implementation of the Sliced Wasserstein Autoencoders

Gradient Origin Networks - a new type of implicit generative model that is able to quickly learn a latent representation without an explicit encoder

Lossy Image Compression with Compressive Autoencoders

Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)

Auto Encoders in PyTorch

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Deep Drug Coder: A TensorFlow2.0 heteroencoder for molecular encoding and de novo generation

Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding"

This toolbox is support material for the book on CNN (http://www.convolution.network).

Implementation of autoencoders in PyTorch

Pytorch implementation of contractive autoencoder on MNIST dataset

Deep Learning-based Clustering Approaches for Bioinformatics

Notebooks and tools for generative modeling in PyTorch.

Thio - a playground for real-time anomaly detection

Unsupervised Deep Architechtures in R

Codes and Templates from the SuperDataScience Course

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

An attempt to improve pix2code through pretrained autoencoders

Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.

Official adversarial mixup resynthesis repository

Dimensionality reduction

Stacked Denoising AutoEncoder based on TensorFlow

Sparse Autoencoders using FashionMNIST dataset