qingsongedu / Awesome-SSL4TSLinks
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
☆337Updated last year
Alternatives and similar repositories for Awesome-SSL4TS
Users that are interested in Awesome-SSL4TS are comparing it to the libraries listed below
Sorting:
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆177Updated 2 weeks ago
- An up-to-date list of time-series related papers in AI venues.☆414Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆354Updated 10 months ago
- Self-supervised contrastive learning for time series via time-frequency consistency☆480Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆133Updated last year
- This is a PyTorch implementation of ConvTran☆165Updated 3 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆321Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆181Updated 9 months ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆148Updated last year
- A universal time series representation learning framework☆718Updated 11 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆202Updated 9 months ago
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆344Updated last month
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆140Updated 4 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆226Updated 2 years ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆169Updated last month
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆48Updated last year
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆206Updated 2 months ago
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆442Updated last year
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆210Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆180Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆196Updated last month
- ☆230Updated last year
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆211Updated last month
- ☆101Updated 8 months ago
- Repository of Transformer based PyTorch Time Series Models☆306Updated 8 months ago
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆433Updated last month
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆250Updated this week
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆85Updated last year
- Task-Aware Reconstruction for Time-Series Transformer☆62Updated 2 years ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆183Updated 11 months ago