Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Tensorflow implementation of variational auto-encoder for MNIST

Tensorflow implementation of conditional variational auto-encoder for MNIST

Implementation of the stacked denoising autoencoder in Tensorflow

The code for the MaD TwinNet. Demo page:

This repository tries to provide unsupervised deep learning models with Pytorch

Auto Encoders in PyTorch

Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

kaggleのporto-seguro-safe-driver-prediction, michaelのsolver

DDAE speech enhancement on spectrogram domain using Keras

Deep Learning Models implemented in python.

Learning spatial and temporal features of fMRI brain images.

Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"

Image Operations without training using deep image prior

This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.

Unsupervised Representation Learning for Singing Voice Separation

Small-footprint Keyword Spotting

Learn Neural Networks using Java

Denoising autoencoders for speaker identification on MCE 2018 challenge

Undergraduate research by Yuzhe Lim @ Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

EoR Signal Separation with a Convolutional Denoising Autoencoder (CDAE)

Denoise audio with convolutional autoencoder

Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining

A Deep Denoising Autoencoder for Time Dependent Signals

This repository contains various Autoencoders implemented using TensorFlow

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

Stacked Denoising and Variational Autoencoder implementation for MNIST dataset

Reproduction of Autoaugmentation paper for Image Denoising

Denoising-Autoencoders-in-Keras