uchidalab / DynamicDA-with-GatingNetworks
ICPR2022: Dynamic Data Augmentation with Gating Networks for Time Series Recognition
☆11Updated 2 years ago
Alternatives and similar repositories for DynamicDA-with-GatingNetworks:
Users that are interested in DynamicDA-with-GatingNetworks are comparing it to the libraries listed below
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆37Updated 7 months ago
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆31Updated 7 months ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago
- Implementation of the InterpretTime framework☆43Updated last year
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆76Updated last year
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Updated 2 years ago
- Unsupervised Domain Adaptation for Time Series Classification☆29Updated last year
- XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification☆49Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆30Updated 10 months ago
- Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification☆21Updated 2 years ago
- Code for mixup contrastive learning☆21Updated 3 years ago
- Task-Aware Reconstruction for Time-Series Transformer☆60Updated 2 years ago
- Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)☆23Updated 5 years ago
- Contrastive Learning for Time Series☆38Updated last year
- ☆91Updated 3 months ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆135Updated 9 months ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆11Updated 5 years ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆25Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆88Updated 10 months ago
- A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.☆51Updated 3 years ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆44Updated last year
- SemiTime (ICASSP2021)☆39Updated 4 years ago
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆129Updated 2 weeks ago
- Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)☆37Updated 2 years ago
- Time series explainability via self-supervised model behavior consistency☆44Updated last year
- Domain Adaptation for Time Series Under Feature and Label Shifts☆116Updated last year
- ☆59Updated 2 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆75Updated 3 years ago