FrusqueGaetan / Learnable-Wavelet-TransformLinks
Code tu use learnable wavelet transforms like L-WPT and DeSPaWN methods in pytorch
☆32Updated 2 years ago
Alternatives and similar repositories for Learnable-Wavelet-Transform
Users that are interested in Learnable-Wavelet-Transform are comparing it to the libraries listed below
Sorting:
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆28Updated 3 years ago
- Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)☆49Updated 3 years ago
- ☆24Updated 7 months ago
- This is the code for WaveletKernelNet.☆136Updated last year
- ☆47Updated 8 months ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- MSTDA☆11Updated last year
- implementation of several GANs with pytorch☆164Updated 3 years ago
- A implementation of Gramian Angular Field (GAF) in Pytorch.☆19Updated 2 years ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆35Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆33Updated last month
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆23Updated last year
- Python implementation of time varying filter EMD☆13Updated last year
- Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis☆14Updated 3 years ago
- Function for decomposing a signal according to the Multivariate Variational Mode Decomposition in Pytorch☆27Updated 2 years ago
- ☆29Updated last month
- Variance discrepancy representation☆12Updated last year
- The open-source code of "CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis".☆18Updated 5 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆40Updated last year
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆23Updated 3 years ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆23Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 7 months ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆37Updated 2 years ago
- DMsrTTLN code☆18Updated last year
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆51Updated 3 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆11Updated last year