Aftaab99/DenoisingAutoencoder

Convolutional Denoising Autoencoder for low light image denoising

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05rs/Autoencoders

The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction.

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rishivar/adversarial-notebooks

Experimental Adversarial Attack notebooks on CV models

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pawan47/Autoencoders

Simple Implementation of Denoise autoencoders

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crypto-code/Math-of-Neural-Networks

Create a few popular Neural Networks from scratch using just Numpy

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soumilchugh/AutoEncoder

This repo contains the implementation for an autoencoder for image enhancement

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soumik12345/Autoencoders

Implementations of various Autoencoder architectures and applications in Tensorflow

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TanyaChutani/Denoising-Convolution-Auto-Encoder

Keras implementation of denoising convolution auto encoder on mnist

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samridhishree/Deeplearning-Models

Deep learning models in Python

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lordtt13/Autoencoders

All the models of Autoencoders that I've worked on

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jackgriffin105/MNIST-denoising-autoencoder

A tutorial of Denoising Autoencoder which removes noise from MNIST images.

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cshukai/tcga_colorectal_histology_images

Language: Python - Size: 122 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

ilee38/autoencoder-recovery

Using a Denoising Autoencoder (a neural network model) for classifying corrupted images.

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dbsheta/content_based_image_retrieval

Various techniques are compared for retrieving an image from existing dataset which is similar to the test image.

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adri-romsor/iterative_inference_segm

Image Segmentation by Iterative Inference from Conditional Score Estimation

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