Shuheng-Li / UniTS-Sensory-Time-Series-ClassificationLinks
Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification
☆20Updated 3 years ago
Alternatives and similar repositories for UniTS-Sensory-Time-Series-Classification
Users that are interested in UniTS-Sensory-Time-Series-Classification are comparing it to the libraries listed below
Sorting:
- ☆66Updated 2 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆56Updated 5 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆40Updated 4 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆217Updated 2 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆30Updated 3 years ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆20Updated last year
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆50Updated last year
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation☆82Updated 3 years ago
- ☆123Updated 2 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆162Updated last year
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆23Updated 2 years ago
- Task-Aware Reconstruction for Time-Series Transformer☆62Updated 2 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆125Updated 2 years ago
- ☆154Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆92Updated last year
- ☆38Updated last year
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)☆48Updated 3 years ago
- ☆141Updated 3 months ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆10Updated 6 years ago
- ☆20Updated 2 years ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆43Updated last year
- Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)☆51Updated last year
- ☆79Updated last year
- ☆16Updated 3 years ago
- Official implementation of SWL-Adapt.☆14Updated 2 years ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆140Updated last year
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆58Updated 3 years ago