jscriptcoder / Data-Augmentation-using-cGANLinks
Data augmentation using Conditional Generative Adversarial Networks (cGAN)
☆19Updated 2 years ago
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
Sorting:
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Explanation of 1D CNN☆58Updated 7 years ago
- using WGAN to generate fault bearing vibration signals☆51Updated 7 years ago
- implementation of several GANs with pytorch☆163Updated 3 years ago
- pytorch >>> 快速搭建自己的模型!☆126Updated 3 years ago
- here is the introduce of bls☆73Updated 4 years ago
- ☆34Updated 5 years ago
- 一维卷积神经网络☆41Updated 6 years ago
- Empirical wavelet transform (EWT) in Python☆93Updated 5 years ago
- ☆16Updated 7 years ago
- 用GAN生成一维数据☆124Updated 5 years ago
- Encoding time series as images using GAF operation by pyts.☆227Updated 3 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆25Updated 4 years ago
- Regression with SVR, CNN and CNN-LSTM☆14Updated 5 years ago
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆11Updated 4 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound☆34Updated 3 years ago
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆18Updated 5 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 6 years ago
- 利用深度学习自编码器进行故障诊断的程序☆10Updated 7 years ago
- Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…☆139Updated 2 years ago
- CNN - ELM model for mri brain decoding☆11Updated 7 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆24Updated last year
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆80Updated 5 years ago
- PyTorch-1D-ACGAN for data generation. It can also work as classfier☆21Updated 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…☆35Updated 3 years ago
- One of the first implementations of Grad-CAM ++ for time series / 1d signal.☆18Updated 2 years ago
- imbalanced fault diagnosis☆14Updated 5 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆87Updated 3 years ago
- ☆54Updated 6 years ago