autoencoder-architecture

There are 0 repository under autoencoder-architecture topic.

ShrishtiHore / Anomaly-Detection-in-CCTV-Surveillance-Videos
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 anomaly-detection keras tensorflow2 surveillance-video dataexploration convolutional-autoencoder autoencoder-architecture videodataset
Language:Jupyter Notebook 39
DanuserLab / openLCH
Live Cell Histology: Extracting latent features from label-free live cell images using Adversarial Autoencoders
machine-learning cell-biology autoencoder-architecture torch microscopy
Language:Lua 6
ayulockin / deepgenerativemodeling
Towards Generative Modeling from (variational) Autoencoder to DCGAN
autoencoder vae vae-implementation vae-gan keras keras-tensorflow autoencoder-architecture
Language:Jupyter Notebook 3
AdityaTheDev / ReconstructionOfImage-Using-DeepAutoEnccoders
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 sometimes referred to as a replicator neural network. The autoencoders reconstruct each dimension of the input by passing it through the network. It may seem trivial to use a neural network for the purpose of replicating the input, but during the replication process, the size of the input is reduced into its smaller representation. The middle layers of the neural network have a fewer number of units as compared to that of input or output layers. Therefore, the middle layers hold the reduced representation of the input. The output is reconstructed from this reduced representation of the input.
autoencoders autoencoder deeplearning imagecompression convolutional-neural-networks encoder-decoder image-processing machine-learning autoencoder-neural-network autoencoderscompression autoencoder-architecture
Language:Jupyter Notebook 1
rakibhhridoy / ImageDenoisingUsing-AutoEncoders
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.
autoencoder image-denoising image-clean deep-learning tensorflow keras python autoencoder-architecture autoencoder-neural-network theory
Language:Jupyter Notebook 1
andrewjUTSW / openLCH
Live Cell Histology: Extracting latent features from label-free live cell images using Adversarial Autoencoders
microscopy cell-biology autoencoder-architecture machine-learning torch
Language:Lua 0
dame-cell / Masked-AutoEncoders
Pytorch implementation of Masked Autoencoder I
autoencoder-architecture computervision
Language:Python 0
jaynilpatel / autoencoder
vanilla and convolutional autoencoder for generating mnist images
autoencoder-architecture convolutional-neural-networks deep-learning mnist
Language:Jupyter Notebook 0
PrasunDatta / IEEE-Signal-Processing-Cup-2020_Unsupervied-Abnormality-Detection
In this research work, unsupervised abnormality has been detected by using intelligent and heterogeneous autonomous systems.
autoencoder-architecture densenet lstm-neural-network unsupervised-anomaly-detection
Language:Python 0
HayatiYrtgl / autoencoder_colorization
Colorizes grayscale images using a loaded model and displays original and predicted colorized versions.
autoencoder autoencoder-architecture autoencoder-neural-network colorization colorize-image keras python
Language:Python
potatobox1 / Person-Segmentation-with-Autoencoders
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
Language:Jupyter Notebook
toniesteves / keras-autoencoder-rgb-images
Uma abordagem prática para construção de autoencoders convolucionais.
deep-learning deep-neural-networks convolutional-neural-networks autoencoders autoencoder-architecture neural-network cnn cnn-keras keras keras-neural-networks convolutional-neural-network
Language:Python

autoencoder-architecture

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

DanuserLab / openLCH

ayulockin / deepgenerativemodeling

AdityaTheDev / ReconstructionOfImage-Using-DeepAutoEnccoders

rakibhhridoy / ImageDenoisingUsing-AutoEncoders

andrewjUTSW / openLCH

dame-cell / Masked-AutoEncoders

jaynilpatel / autoencoder

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

HayatiYrtgl / autoencoder_colorization

potatobox1 / Person-Segmentation-with-Autoencoders

toniesteves / keras-autoencoder-rgb-images