peijii / BioAugLinks
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.
☆18Updated 11 months ago
Alternatives and similar repositories for BioAug
Users that are interested in BioAug are comparing it to the libraries listed below
Sorting:
- ☆39Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆221Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆94Updated last year
- ☆27Updated 2 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆166Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- ☆22Updated last year
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆36Updated last year
- Domain Adaptation for Time Series Under Feature and Label Shifts☆128Updated 2 years ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆29Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆33Updated last year
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆56Updated 5 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆51Updated 3 years ago
- ☆18Updated 2 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆25Updated 2 years ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆95Updated last year
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆97Updated 7 months ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Updated 2 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆41Updated 3 years ago
- ☆26Updated last year
- ☆38Updated last year
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆50Updated 2 years ago
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆24Updated last year
- 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis☆114Updated 2 years ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆18Updated last year
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆48Updated 2 years ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆34Updated 2 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆48Updated 3 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆40Updated 3 years ago