emadeldeen24 / TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
☆401Updated 11 months ago
Alternatives and similar repositories for TS-TCC:
Users that are interested in TS-TCC are comparing it to the libraries listed below
- Self-supervised contrastive learning for time series via time-frequency consistency☆464Updated 9 months ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆135Updated 9 months ago
- ☆144Updated last year
- ☆114Updated 2 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆197Updated last year
- A universal time series representation learning framework☆661Updated 7 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆223Updated last year
- ☆90Updated 3 months ago
- This is a PyTorch implementation of ConvTran☆143Updated 2 weeks ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆311Updated 10 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆75Updated 9 months ago
- ☆210Updated last year
- An up-to-date list of time-series related papers in AI venues.☆393Updated 8 months ago
- Task-Aware Reconstruction for Time-Series Transformer☆60Updated 2 years ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆122Updated 9 months ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆135Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆168Updated 4 months ago
- An example of time series augmentation methods with Keras☆344Updated 3 years ago
- [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for diff…☆161Updated 5 months ago
- ☆65Updated 9 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆256Updated 11 months ago
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆158Updated 2 months ago
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆518Updated last year
- Convolutional Transformer for time series☆276Updated 4 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆115Updated last year
- ☆278Updated 2 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆315Updated 5 months ago
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆129Updated last week
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete …☆263Updated 2 weeks ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago