sandeep-189 / Data-AugmentationLinks
Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets
☆15Updated last year
Alternatives and similar repositories for Data-Augmentation
Users that are interested in Data-Augmentation are comparing it to the libraries listed below
Sorting:
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 3 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- ☆11Updated last year
- ☆34Updated last year
- Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"☆16Updated 3 years ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated last year
- SimAD, deep learning, anomaly detection, outlier detection, time series. "SimAD: A Simple Dissimilarity-based Approach for Time Series An…☆18Updated 9 months ago
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆18Updated 4 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆18Updated last year
- An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.☆21Updated last year
- ☆12Updated 2 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆11Updated 7 years ago
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆18Updated 3 years ago
- 1 提出了一种新的相似度损失(SimL),用于增大类间差异同时减小类内差异;2 SimL+CE优化CNN;3 基于电信号诊断轴承故障☆13Updated last year
- Implementation of FGANomaly☆17Updated 3 years ago
- ☆13Updated 3 years ago
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆21Updated 6 months ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆19Updated 2 years ago
- muhammadumair894 / MRC-LSTM-A-Hybrid-Approach-of-Multi-scale-Residual-CNN-and-LSTM-to-Predict-Bitcoin-PriceMRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price☆11Updated 3 years ago
- This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…☆35Updated last year
- 一种新的用于噪声干扰下刀具的无监督异常检测方法☆21Updated last year
- ☆16Updated last year
- ☆13Updated 2 years ago
- Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆28Updated 5 years ago
- ☆8Updated 2 years ago
- My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.☆11Updated 5 years ago
- Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis☆32Updated 5 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- DMsrTTLN code☆18Updated 10 months ago
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆22Updated last year