pepecalvi93 / LSSTMLinks
Least Squares Support Tensor Machine in Python
☆9Updated 4 years ago
Alternatives and similar repositories for LSSTM
Users that are interested in LSSTM are comparing it to the libraries listed below
Sorting:
- Try to realize the algorithm "support tensor machine"☆12Updated 3 years ago
- Encoding time series as images using GAF operation by pyts.☆224Updated 3 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Regression with SVR, CNN and CNN-LSTM☆14Updated 4 years ago
- ☆33Updated 5 years ago
- ☆94Updated 4 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.☆17Updated 7 years ago
- pytorch >>> 快速搭建自己的模型!☆124Updated 2 years ago
- Pytorch implementation of stacked denoising autoencoder☆26Updated 5 years ago
- MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analy…☆254Updated 3 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated 2 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆46Updated 7 years ago
- Model of three-way decision☆13Updated 5 years ago
- 利用深度学习自编码器进行故障诊断的程序☆11Updated 7 years ago
- Dissolved Gas Analysis☆20Updated 3 years ago
- 基于相似性的剩余寿命预测☆16Updated 5 years ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 2 years ago
- Prediction of remaining useful life (RUL)☆17Updated 7 years ago
- ☆139Updated 7 years ago
- Industrial intelligence☆9Updated 7 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.☆20Updated 5 years ago
- Explanation of 1D CNN☆58Updated 6 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago
- ☆9Updated 6 years ago
- ☆108Updated 2 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 5 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆47Updated 3 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆74Updated 6 years ago