ck44liu / gans-on-image-classification
Transfer Learning on GANs
☆19Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for gans-on-image-classification
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆35Updated 2 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆48Updated 4 years ago
- implementation of several GANs with pytorch☆140Updated 2 years ago
- Convolutional Variational Autoencoder for classification and generation of time-series☆39Updated 4 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 5 years ago
- 用GAN生成一维数据☆121Updated 4 years ago
- A transformer guided GAN to generate synthetic time-series data.☆26Updated 2 years ago
- Emotion Recognition using PSO and SVM☆15Updated 3 years ago
- Creating tabular GAN on credit card dataset☆15Updated 4 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆74Updated 2 years ago
- Data augmentation using Conditional Generative Adversarial Networks (cGAN)☆17Updated last year
- Synthesize plausible ECG signals via Generative adversarial networks☆24Updated 2 years ago
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation☆69Updated 2 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆25Updated 4 years ago
- 🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...☆95Updated 4 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…☆33Updated 2 years ago
- improved by ACWGAN-gp☆10Updated 4 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆28Updated 6 years ago
- LSTM-GAN for generate plausible ECG signals☆93Updated 4 years ago
- Based on our paper "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selectio…☆11Updated 2 years ago
- To do a deep learning project on ecg. I use pytorch to reproduce the traditional CNN models include LeNet AlexNet ZFNet VGG GoogLeNet Res…☆70Updated 6 months ago
- Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection☆22Updated 3 years ago
- 1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.☆107Updated 3 years ago
- Keras implementation of Conditional Generative Adversarial Nets (CGAN)☆17Updated 3 years ago
- Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound☆26Updated 2 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆39Updated 4 years ago
- Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras☆35Updated 5 years ago
- A keras implementation of conditional wgan-gp☆43Updated 5 years ago
- using WGAN to generate fault bearing vibration signals☆49Updated 6 years ago