jscriptcoder / Data-Augmentation-using-cGAN
Data augmentation using Conditional Generative Adversarial Networks (cGAN)
☆19Updated last year
Alternatives and similar repositories for Data-Augmentation-using-cGAN:
Users that are interested in Data-Augmentation-using-cGAN are comparing it to the libraries listed below
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆34Updated 2 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆40Updated 4 years ago
- Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' h…☆18Updated last year
- PSO On neural Network and LSTM☆19Updated 3 years ago
- Regression with SVR, CNN and CNN-LSTM☆13Updated 4 years ago
- Emotion Recognition using PSO and SVM☆15Updated 3 years ago
- Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound☆29Updated 2 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆21Updated 4 years ago
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 5 years ago
- A implementation of Gramian Angular Field (GAF) in Pytorch.☆14Updated last year
- A Deep Denoising Autoencoder for Time Dependent Signals☆21Updated 6 years ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Updated last year
- using WGAN to generate fault bearing vibration signals☆50Updated 6 years ago
- ☆13Updated 4 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆11Updated 5 years ago
- 🍀 Tensorflow implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand pape…☆41Updated 9 months ago
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation☆75Updated 2 years ago
- CNN - ELM model for mri brain decoding☆11Updated 6 years ago
- Audio MNIST Classification using 1D-CNN, 2D-CNN, GAN+2D-CNN, CVN+RandomForest, and LSTMs.☆14Updated 3 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆74Updated 4 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆12Updated 3 years ago
- Empirical wavelet transform (EWT) in Python☆87Updated 4 years ago
- The number of sunseeds is predicted by combining phase space reconstruction with deep neural networks.☆13Updated 3 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- One of the first implementations of Grad-CAM ++ for time series / 1d signal.☆16Updated last year
- ☆23Updated 2 years ago
- for my thesis work☆16Updated 3 years ago
- Wavelet CNN, Texture Classification in Keras☆51Updated 2 years ago
- PyTorch-1D-ACGAN for data generation. It can also work as classfier☆21Updated 3 years ago
- A transformer guided GAN to generate synthetic time-series data.☆31Updated 3 years ago