abdelrahman-gaber / Classification-AutoEncoder
The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with cifar10 dataset.
☆9Updated 4 years ago
Alternatives and similar repositories for Classification-AutoEncoder:
Users that are interested in Classification-AutoEncoder are comparing it to the libraries listed below
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆46Updated 5 years ago
- This repository is used to share some works related to Paderborn Bearing Data☆9Updated 3 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago
- An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks☆16Updated 2 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNN…☆10Updated 2 years ago
- A Siamese Neural Network is a class of neural network architectures that contain two or more identical subnetworks. ‘identical’ here mean…☆10Updated 3 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆31Updated 2 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan☆25Updated 4 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆20Updated last year
- Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets. I implemented this repo for a technical interview f…☆19Updated 5 years ago
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆34Updated 3 years ago
- ☆9Updated 6 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 5 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆39Updated 2 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆46Updated 4 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆22Updated last year
- imbalanced fault diagnosis☆14Updated 4 years ago
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10Updated 3 years ago
- PyTorch-1D-ACGAN for data generation. It can also work as classfier☆21Updated 3 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Represe…☆34Updated 4 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆38Updated 2 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification☆68Updated 5 years ago
- improved by ACWGAN-gp☆10Updated 5 years ago
- Experiments performed to analyse the CNN on the CWRU data set.☆14Updated 4 years ago
- using WGAN to generate fault bearing vibration signals☆50Updated 6 years ago