emadeldeen24 / CA-TCCLinks
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
☆160Updated last year
Alternatives and similar repositories for CA-TCC
Users that are interested in CA-TCC are comparing it to the libraries listed below
Sorting:
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆88Updated last year
- ☆103Updated 9 months ago
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆454Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆213Updated 2 years ago
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆35Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆138Updated last year
- Domain Adaptation for Time Series Under Feature and Label Shifts☆122Updated 2 years ago
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆38Updated last year
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆73Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆91Updated last year
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆28Updated 2 years ago
- ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification☆108Updated 8 months ago
- Task-Aware Reconstruction for Time-Series Transformer☆61Updated 2 years ago
- Self-supervised contrastive learning for time series via time-frequency consistency☆493Updated last year
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆49Updated 2 years ago
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆17Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆215Updated 11 months ago
- ☆152Updated 2 years ago
- ☆77Updated last year
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆41Updated last year
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆347Updated last year
- ☆37Updated last year
- This is a PyTorch implementation of ConvTran☆166Updated 5 months ago
- ☆122Updated 2 years ago
- ☆35Updated last year
- DMKD- Series2Vec: Similarity-based Representation Learning for Time Series☆36Updated 5 months ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆152Updated last year
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification [AAAI 2025]☆29Updated 4 months ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆79Updated 5 months ago
- Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…☆18Updated 8 months ago