convolutional-autoencoder

HDR image reconstruction from a single exposure using deep CNNs

BCDU-Net : Medical Image Segmentation

Deep Learning sample programs using PyTorch in C++

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

Deep Learning-based Clustering Approaches for Bioinformatics

SegNet-like Autoencoders in TensorFlow

This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.

anomaly detection by one-class SVM

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

A convolutional autoencoder made in TFLearn.

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

High Dynamic Range Image Synthesis via Attention Non-Local Network

Unsupervised deep learning system for local anomaly event detection in crowded scenes

Micro neural network with multi-dimensional layers, multi-shaped data, fully or locally meshing, conv2D, unconv2D, Qlearning, ... for test!

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

Implementation of a convolutional auto-encoder in PyTorch

Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio

A convolutional auto-encoder for compressing time sequence data of stocks.

Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids

Image Compression on COCO Dataset using Convolution AutoEncoders

a convolutional autoencoder in python and keras.

Collection of autoencoder models in Tensorflow

Cost function and cost gradient function for a convolutional autoencoder.

This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We are using Spatio Temporal AutoEncoder and more importantly three models from Keras ie; Convolutional 3D, Convolutional 2D LSTM and Convolutional 3D Transpose. 👮‍♂️👮‍♀️📹🔍🔫⚖

End-To-End Raw Audio Resynthesis System for Piano -> E-Piano

Music Xtraction with Nonstationary Gabor Transforms and Convolutional Denoising Autoencoders

Correlating ChIP-seq peaks from multiple datasets by stacked multiview using convolutional autoencoders on 3D tensors

Convolutional Autoencoder for Denoising Images

A python based machine learning toolkit for recovering the kinematic disorder of galaxies based on their velocity maps as well as returning an inclination-dependent position angle prediction for further kinematic modelling.