emadeldeen24 / AdaTime
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
☆203Updated last year
Alternatives and similar repositories for AdaTime
Users that are interested in AdaTime are comparing it to the libraries listed below
Sorting:
- Domain Adaptation for Time Series Under Feature and Label Shifts☆119Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆89Updated last year
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆143Updated 11 months ago
- ☆37Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆128Updated last year
- ☆25Updated 2 years ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆80Updated last year
- ☆95Updated 6 months ago
- Self-supervised contrastive learning for time series via time-frequency consistency☆475Updated last year
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆423Updated last year
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆55Updated 4 years ago
- ☆72Updated last year
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆145Updated last year
- Task-Aware Reconstruction for Time-Series Transformer☆60Updated 2 years ago
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆33Updated 10 months ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆30Updated last year
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆223Updated 2 years ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆48Updated last year
- ☆119Updated 2 years ago
- Disjoint-CNN for Multivariate Time Series Classification☆22Updated last year
- Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey☆30Updated last year
- ☆41Updated 2 years ago
- ☆33Updated last year
- ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification☆94Updated 5 months ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago
- ☆147Updated 2 years ago
- ☆20Updated last year
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆33Updated last year
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆166Updated 5 months ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆177Updated 7 months ago