Eatzhy / Convolution_autoencoder-
卷积自编码器用于图像重建
☆9Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Convolution_autoencoder-
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆74Updated 3 years ago
- CBAM implementation on Keras☆361Updated 3 years ago
- Some basic neural network implement by tf2.0☆25Updated 2 years ago
- 这个仓库主要包含了LSTM、卷积神经网络中,注意力机制的实现。☆128Updated 3 years ago
- WGAN based AnoGAN☆46Updated 4 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 5 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆126Updated 5 years ago
- CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch☆104Updated 5 years ago
- 这是利用条件GAN(CGAN)实现生成MNIST图像的代码☆28Updated 5 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆96Updated 6 years ago
- 关于杜伦大学的GANomaly的代码☆18Updated 5 years ago
- 个人练习,自编码器及其变形(理论+实践)☆321Updated 5 years ago
- Anomaly detection using Autoencoder implemented with Keras 2.☆69Updated 5 years ago
- [深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)☆178Updated 5 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆202Updated 6 years ago
- This repository is codeabout cnn with xgboost☆31Updated 6 years ago
- ☆48Updated 5 years ago
- Implementation of Squeeze-and-Excitiation Network on Keras☆22Updated 5 years ago
- ☆46Updated 5 years ago
- Autoencoders in PyTorch☆97Updated 5 years ago
- keras-Dual Attention Network for Scene Segmentation☆67Updated 5 years ago
- 本repo是论文GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training 的一个pytorch实现☆9Updated 5 years ago
- Pytorch implementation of stacked denoising autoencoder☆25Updated 5 years ago
- ☆17Updated 6 years ago
- An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification☆361Updated last year
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 5 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆46Updated 5 years ago
- Grad-CAM implementation in Keras☆19Updated 5 years ago
- Visualization CNN model by Keras.