mims-harvard / TFC-pretrainingView external linksLinks
Self-supervised contrastive learning for time series via time-frequency consistency
☆515May 7, 2024Updated last year
Alternatives and similar repositories for TFC-pretraining
Users that are interested in TFC-pretraining are comparing it to the libraries listed below
Sorting:
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆484Mar 31, 2024Updated last year
- A universal time series representation learning framework☆814Jul 29, 2024Updated last year
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆235Mar 22, 2023Updated 2 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆169May 22, 2024Updated last year
- Domain Adaptation for Time Series Under Feature and Label Shifts☆133Jun 21, 2023Updated 2 years ago
- ☆125Dec 8, 2022Updated 3 years ago
- ☆120Nov 6, 2024Updated last year
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆84Oct 9, 2022Updated 3 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆364Apr 28, 2024Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆155May 6, 2024Updated last year
- Code for mixup contrastive learning☆21Mar 19, 2021Updated 4 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆224Jun 7, 2023Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆96Apr 11, 2024Updated last year
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Apr 6, 2021Updated 4 years ago
- BIOT - A framework for pretraining biosignals at scale. Large EEG pre-trained models.☆178Dec 11, 2023Updated 2 years ago
- Multivariate Time Series Transformer, public version☆867Sep 18, 2025Updated 4 months ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆30Jun 1, 2023Updated 2 years ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,444Aug 12, 2024Updated last year
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆51Aug 6, 2023Updated 2 years ago
- Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis☆56Nov 30, 2022Updated 3 years ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆218Oct 7, 2024Updated last year
- Self Supervised Learning for Time Series Using Similarity Distillation☆12Jun 29, 2022Updated 3 years ago
- ☆49May 29, 2023Updated 2 years ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,515Feb 1, 2026Updated last week
- Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments☆406Jul 31, 2024Updated last year
- Time Series Change Point Detection based on Contrastive Predictive Coding☆85Apr 5, 2022Updated 3 years ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆43Jul 16, 2024Updated last year
- A unified multi-task time series model.☆614Sep 26, 2024Updated last year
- ☆182Nov 3, 2022Updated 3 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆557Aug 19, 2024Updated last year
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Jan 31, 2023Updated 3 years ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆250Sep 15, 2024Updated last year
- ☆13Sep 5, 2023Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆34Apr 17, 2024Updated last year
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆640Jan 8, 2024Updated 2 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆405Sep 13, 2024Updated last year
- Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.☆42Mar 6, 2024Updated last year
- About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pd…☆1,032Apr 2, 2024Updated last year
- ☆124Oct 26, 2022Updated 3 years ago