thuml / Large-Time-Series-ModelLinks
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works
☆743Updated last month
Alternatives and similar repositories for Large-Time-Series-Model
Users that are interested in Large-Time-Series-Model are comparing it to the libraries listed below
Sorting:
- Implementations, Pre-training Code and Datasets of Large Time-Series Models☆403Updated last month
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆598Updated last year
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆334Updated 8 months ago
- About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pd…☆928Updated last year
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆731Updated 2 months ago
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆228Updated last month
- Large Language & Foundation Models for Time Series.☆532Updated last year
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆596Updated last year
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.☆1,130Updated 8 months ago
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆1,759Updated last month
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆258Updated last month
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,123Updated last year
- ☆743Updated 2 years ago
- Resources about time series forecasting and deep learning.☆698Updated this week
- A unified multi-task time series model.☆563Updated 11 months ago
- Unified Training of Universal Time Series Forecasting Transformers☆1,226Updated 2 weeks ago
- tracking papers, datasets, and models of "large language model (LLM) for time series"☆473Updated last year
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆217Updated 3 months ago
- About model release for "Timer-XL: Long-Context Transformers for Unified Time Series Forecasting"☆82Updated last month
- The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.☆813Updated 4 years ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆338Updated last year
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆171Updated last month
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆538Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆361Updated 11 months ago
- An up-to-date list of time-series related papers in AI venues.☆423Updated last year
- ProbTS is a benchmarking toolkit for time series forecasting.☆184Updated 2 weeks ago
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,699Updated this week
- ☆290Updated 3 years ago
- ☆232Updated last year
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆585Updated 3 months ago