A comprehensive survey on the time series domains
☆544Mar 22, 2024Updated 2 years ago
Alternatives and similar repositories for Awesome-time-series
Users that are interested in Awesome-time-series are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆949Mar 12, 2026Updated 2 weeks ago
- list of papers, code, and other resources☆1,046Aug 13, 2025Updated 7 months ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,600Apr 6, 2024Updated last year
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,435Jan 27, 2024Updated 2 years ago
- An up-to-date list of time-series related papers in AI venues.☆435Jun 15, 2024Updated last year
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆373Apr 28, 2024Updated last year
- Resources about time series forecasting and deep learning.☆776Mar 23, 2026Updated last week
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,971Aug 8, 2024Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆223Oct 7, 2024Updated last year
- KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective☆103Mar 9, 2024Updated 2 years ago
- Resources for working with time series and sequence data☆667Jul 26, 2025Updated 8 months ago
- A universal time series representation learning framework☆830Jul 29, 2024Updated last year
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆667Jul 12, 2023Updated 2 years ago
- List of papers, code and experiments using deep learning for time series forecasting☆2,770Mar 16, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆84Oct 9, 2022Updated 3 years ago
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,108Jan 29, 2026Updated 2 months ago
- Awesome Time-Series and Spatio-Temporal Related☆116Sep 7, 2023Updated 2 years ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,871Mar 15, 2026Updated 2 weeks ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆235Mar 22, 2023Updated 3 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,019Mar 8, 2026Updated 3 weeks ago
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆855Aug 9, 2024Updated last year
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.☆1,203Dec 22, 2024Updated last year
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Mar 20, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Sep 13, 2023Updated 2 years ago
- ☆10Feb 21, 2023Updated 3 years ago
- PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting☆305May 10, 2024Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆411Sep 13, 2024Updated last year
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆366May 1, 2025Updated 10 months ago
- ☆126Oct 26, 2022Updated 3 years ago
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆672Dec 1, 2023Updated 2 years ago
- Self-supervised contrastive learning for time series via time-frequency consistency☆521May 7, 2024Updated last year
- [NeurIPS 2024 Spotlight] Official Code of the paper "Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Foreca…☆16Dec 24, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- tracking papers, datasets, and models of "large language model (LLM) for time series"☆515Jul 26, 2024Updated last year
- ☆136Feb 7, 2023Updated 3 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆556Aug 19, 2024Updated last year
- Unofficial PyTorch implementation of Domain Adaptation Forecaster☆38Feb 20, 2024Updated 2 years ago
- ☆793Aug 16, 2023Updated 2 years ago
- Probabilistic time series modeling in Python☆5,151Mar 17, 2026Updated last week
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆142Dec 23, 2023Updated 2 years ago