qingsongedu / Awesome-SSL4TSLinks
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
☆352Updated 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.☆184Updated 3 months ago
- An up-to-date list of time-series related papers in AI venues.☆424Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆201Updated last year
- Self-supervised contrastive learning for time series via time-frequency consistency☆503Updated last year
- This is a PyTorch implementation of ConvTran☆169Updated 7 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆370Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆140Updated last year
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆156Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆226Updated last year
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆151Updated 8 months ago
- A universal time series representation learning framework☆770Updated 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…☆216Updated this week
- ☆108Updated 11 months ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆50Updated last year
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆371Updated last month
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆187Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆360Updated last year
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆210Updated last year
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆228Updated 2 years ago
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆467Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆93Updated last year
- Task-Aware Reconstruction for Time-Series Transformer☆62Updated 2 years ago
- A comprehensive survey on the time series domains☆538Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆215Updated last month
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆269Updated 3 months ago
- ☆164Updated 9 months ago
- A curated list of paper, code, data, and other resources focus on multimodal time series analysis.☆161Updated last month
- ☆123Updated 2 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆161Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆196Updated last year