peijii / BioAug
Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time series data customly.
☆17Updated last month
Alternatives and similar repositories for BioAug:
Users that are interested in BioAug are comparing it to the libraries listed below
- ☆37Updated last year
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆39Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆29Updated 10 months ago
- ☆29Updated last year
- ☆16Updated last year
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆25Updated last year
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆53Updated 4 years ago
- ☆25Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆87Updated 10 months ago
- Disjoint-CNN for Multivariate Time Series Classification☆22Updated last year
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆70Updated last year
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆31Updated 7 months ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated 10 months ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆17Updated last year
- ☆19Updated 10 months ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆26Updated 3 years ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆72Updated 9 months ago
- Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis☆32Updated 5 years ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆46Updated last year
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆31Updated last year
- ☆21Updated 3 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆24Updated 9 months ago
- ☆9Updated 2 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆38Updated 2 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆115Updated last year
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆134Updated 9 months ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆16Updated 2 years ago
- Function for decomposing a signal according to the Multivariate Variational Mode Decomposition in Pytorch☆20Updated last year
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆32Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆43Updated last year