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convolutional-autoencoder

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rezazad68 /BCDU-Net

BCDU-Net : Medical Image Segmentation

semantic deep-learning keras medical lstm segmentation convolutional-neural-networks convolutional-autoencoder unet semantic-segmentation medical-image-processing lung-segmentation medical-application cancer-detection medical-image-segmentation unet-keras retinal-vessel-segmentation bcdu-net abcdu-net skin-lesion-segmentation

UpdatedJan 30, 2023
Python

gabrieleilertsen /hdrcnn

HDR image reconstruction from a single exposure using deep CNNs

deep-learning convolutional-autoencoder convolutional-neural-network hdr-image

UpdatedOct 28, 2022
Python

koba-jon /pytorch_cpp

Deep Learning sample programs using PyTorch in C++

linux deep-learning cpp pytorch dcgan yolo autoencoder vae dimensionality-reduction object-detection convolutional-autoencoder pix2pix semantic-segmentation multiclass-classification anomaly-detection image-to-image-translation u-net libtorch generative-modeling dagmm

UpdatedDec 6, 2025
C++

raadon96 /MVTec-Anomaly-Detection

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

unsupervised convolutional-autoencoder ssim anomaly-detection auto-encoder structural-similarity mvtec surface-inspection anomaly-segmentation anomaly-localization

UpdatedDec 8, 2022
Python

rezacsedu /Deep-Learning-for-Clustering-in-Bioinformatics

Deep Learning-based Clustering Approaches for Bioinformatics

bioinformatics deep-learning neural-networks convolutional-autoencoder representation-learning autoencoders lstm-neural-networks variational-autoencoder clustering-analysis

UpdatedJan 28, 2021
Jupyter Notebook

hiram64 /ocsvm-anomaly-detection

anomaly detection by one-class SVM

convolutional-autoencoder cifar10 anomaly-detection one-class-svm

UpdatedOct 26, 2019
Python

KAIST-VCLAB /deepcassi

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

tensorflow convolutional-autoencoder compressive-sensing siggraph-asia hyperspectral-imaging

UpdatedDec 26, 2018
Python

Nemzy /video_generator

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

machine-learning deep-neural-networks deep-learning tensorflow rnn convolutional-autoencoder video-generator variational-autoencoder

UpdatedJul 24, 2017
Jupyter Notebook

andreaazzini /segnet.tf

SegNet-like Autoencoders in TensorFlow

computer-vision deep-learning tensorflow segmentation convolutional-autoencoder segnet

UpdatedFeb 27, 2017
Python

jayshah19949596 /DeepSign-A-Deep-Learning-Architecture-for-Sign-Language-Recognition

deep-learning lstm convolutional-autoencoder auto-encoders bidirectional-lstm variational-autoencoder sign-language-recognition-system

UpdatedSep 30, 2019
Python

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

UpdatedFeb 9, 2021
Jupyter Notebook

OliverEdholm /Convolutional-Autoencoder

A convolutional autoencoder made in TFLearn.

deep-learning convolutional-autoencoder tflearn

UpdatedJun 4, 2018
Python

irdanish11 /AnomalyEventDetection

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

computer-vision video-surveillance convolutional-autoencoder crowd-analysis abnormal-event-detection convolut-lstm

UpdatedApr 5, 2020
Python

ngailapdi /autoencoder

Implementation of a convolutional auto-encoder in PyTorch

pytorch autoencoder convolutional-autoencoder pytorch-cnn

UpdatedOct 22, 2018
Python

alegonz /kdsb17

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

python kaggle gaussian-mixture-models lung-cancer-detection convolutional-autoencoder mixture-density-networks medical-images keras-tensorflow

UpdatedOct 9, 2017
Python

ekremcet /AEFPNC

Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids

pytorch convolutional-autoencoder image-denoising feature-pyramids

UpdatedApr 15, 2022
Python

MrDavidYu /TF_Convolutional_Autoencoder

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

tensorflow autoencoder rgb-image face-recognition convolutional-autoencoder celeba convolutional leaky-relu tensorflow-gpu celeba-dataset

UpdatedJul 28, 2018
Python

melissa135 /Convolutional_AutoEncoder

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

deep-learning autoencoder convolutional-neural-networks convolutional-autoencoder

UpdatedOct 9, 2017
Python

madhawav /PlayWithAutoEncoders

Image Compression on COCO Dataset using Convolution AutoEncoders

computer-vision computer-graphics pytorch autoencoder convolutional-autoencoder image-compression

UpdatedFeb 24, 2019
Jupyter Notebook

xxl4tomxu98 /autoencoder-feature-extraction

Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models

gradient-boosting-machine convolutional-autoencoder sequence-to-sequence variational-autoencoders autoencoder-neural-network autoencoder-classification autoencoderscompression xgboost-classifier light-gradient-boosting-machine autoencoder-denoising autoencoder-latent-layer histgram-gradient-boosting

UpdatedApr 14, 2023
Jupyter Notebook

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