mims-harvard / TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
☆475Updated 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"☆423Updated last year
- A universal time series representation learning framework☆689Updated 9 months ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆143Updated 11 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆223Updated 2 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆323Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆203Updated last year
- An up-to-date list of time-series related papers in AI venues.☆410Updated 10 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆128Updated last year
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆145Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆340Updated 8 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆292Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆177Updated 7 months ago
- ☆147Updated 2 years ago
- This is a PyTorch implementation of ConvTran☆158Updated last month
- Domain Adaptation for Time Series Under Feature and Label Shifts☆119Updated last year
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆166Updated 5 months ago
- ☆95Updated 6 months ago
- ☆221Updated last year
- ☆119Updated 2 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆521Updated 8 months ago
- Multivariate Time Series Transformer, public version☆826Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆183Updated 3 weeks ago
- Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'☆305Updated 3 months ago
- ☆72Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆80Updated last year
- An example of time series augmentation methods with Keras☆346Updated 3 years ago
- Convolutional Transformer for time series☆275Updated 4 years ago
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆404Updated 3 weeks ago
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆562Updated last year
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆136Updated 2 months ago