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
- This is a PyTorch implementation of ConvTran☆169Updated 6 months ago
- An up-to-date list of time-series related papers in AI venues.☆422Updated last year
- Self-supervised contrastive learning for time series via time-frequency consistency☆501Updated 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
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆368Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆198Updated 11 months ago
- A universal time series representation learning framework☆764Updated 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…☆214Updated 3 weeks ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆211Updated last month
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆146Updated 7 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆227Updated 2 years ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆153Updated last year
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆211Updated last year
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆266Updated 2 months ago
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆367Updated 3 weeks ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆223Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆354Updated last year
- ☆106Updated 10 months ago
- ☆123Updated 2 years ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆187Updated last year
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆461Updated last year
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆458Updated 3 weeks ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆91Updated last year
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆50Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆177Updated 3 months ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆161Updated last year
- This repository contains the source code for time series regression.☆106Updated 2 years ago
- A curated list of paper, code, data, and other resources focus on multimodal time series analysis.☆151Updated last month
- ☆91Updated last year