autoencoder-architecture

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ShrishtiHore / Anomaly-Detection-in-CCTV-Surveillance-Videos

Star 38

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. 👮‍♂️👮‍♀️📹🔍🔫⚖

computer-vision keras convolutional-autoencoder surveillance-video anomaly-detection dataexploration autoencoder-architecture tensorflow2 videodataset

Updated Feb 9, 2021
Jupyter Notebook

DanuserLab / openLCH

Star 6

Live Cell Histology: Extracting latent features from label-free live cell images using Adversarial Autoencoders

machine-learning torch microscopy cell-biology autoencoder-architecture

Updated Jun 20, 2023
Lua

ayulockin / deepgenerativemodeling

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Towards Generative Modeling from (variational) Autoencoder to DCGAN

keras autoencoder vae keras-tensorflow vae-gan autoencoder-architecture vae-implementation

Updated Apr 30, 2020
Jupyter Notebook

AdityaTheDev / ReconstructionOfImage-Using-DeepAutoEnccoders

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Autoencoder is a type of neural network where the output layer has the same dimensionality as the input layer. In simpler words, the number of output units in the output layer is equal to the number of input units in the input layer. An autoencoder replicates the data from the input to the output in an unsupervised manner and is therefore someti...

machine-learning image-processing autoencoder deeplearning convolutional-neural-networks autoencoders encoder-decoder imagecompression autoencoder-architecture autoencoder-neural-network autoencoderscompression

Updated Sep 26, 2021
Jupyter Notebook

rakibhhridoy / ImageDenoisingUsing-AutoEncoders

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Filtering out the noise presented in the image by auto-enconder algorithm in TensorFow and Keras. Rare images, unclean crime images,medical noise images can be denoised and find out the desired outcome by using auto-encoders.

python deep-learning tensorflow keras autoencoder theory image-denoising autoencoder-architecture autoencoder-neural-network image-clean

Updated Jul 21, 2020
Jupyter Notebook

dame-cell / Masked-AutoEncoders

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Pytorch implementation of Masked Autoencoder I

computervision autoencoder-architecture

Updated Sep 25, 2024
Python

toniesteves / keras-autoencoder-rgb-images

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Uma abordagem prática para construção de autoencoders convolucionais.

deep-neural-networks deep-learning neural-network keras cnn convolutional-neural-networks convolutional-neural-network autoencoders keras-neural-networks cnn-keras autoencoder-architecture

Updated May 28, 2020
Python

PrasunDatta / IEEE-Signal-Processing-Cup-2020_Unsupervied-Abnormality-Detection

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In this research work, unsupervised abnormality has been detected by using intelligent and heterogeneous autonomous systems.

densenet lstm-neural-network autoencoder-architecture unsupervised-anomaly-detection

Updated Nov 16, 2022
Python

andrewjUTSW / openLCH

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Live Cell Histology: Extracting latent features from label-free live cell images using Adversarial Autoencoders

machine-learning torch microscopy cell-biology autoencoder-architecture

Updated Jun 3, 2021
Lua

HayatiYrtgl / autoencoder_colorization

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Colorizes grayscale images using a loaded model and displays original and predicted colorized versions.

python keras autoencoder colorization autoencoder-architecture autoencoder-neural-network colorize-image

Updated Apr 30, 2024
Python

potatobox1 / Person-Segmentation-with-Autoencoders

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Person Segmentation using custom Autoencoder architecture and evaluation using IoU and Dice metrics, will also include Unet architecture in the future.

autoencoder-architecture person-segmentation