Implementations, Pre-training Code and Datasets of Large Time-Series Models
☆540Mar 22, 2026Updated last month
Alternatives and similar repositories for OpenLTM
Users that are interested in OpenLTM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and sub…☆968Mar 22, 2026Updated last month
- About model release for "Timer-XL: Long-Context Transformers for Unified Time Series Forecasting"☆134Jul 21, 2025Updated 9 months ago
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆260Jul 22, 2025Updated 9 months ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆12,164Apr 18, 2026Updated last week
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆953Mar 21, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Unified Training of Universal Time Series Forecasting Transformers☆1,479Jan 29, 2026Updated 3 months ago
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆651Jan 8, 2024Updated 2 years ago
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,128Mar 29, 2026Updated last month
- About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)☆208Sep 12, 2025Updated 7 months ago
- See the official code and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models"☆16Aug 19, 2024Updated last year
- ☆207Apr 15, 2026Updated 2 weeks ago
- ☆203Jan 14, 2025Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆134Jul 15, 2025Updated 9 months ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆42Jan 16, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆473Nov 27, 2024Updated last year
- Papers for LLM and foundation models for time series analytics☆48Oct 15, 2024Updated last year
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆750Feb 10, 2026Updated 2 months ago
- Foundation Models for Time Series☆837Updated this week
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,635Oct 15, 2025Updated 6 months ago
- ☆23Nov 29, 2024Updated last year
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,089Jul 17, 2025Updated 9 months ago
- ☆43Feb 19, 2025Updated last year
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆47Jan 6, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,764Dec 23, 2025Updated 4 months ago
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.☆1,211Dec 22, 2024Updated last year
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆146May 29, 2024Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆131Mar 23, 2024Updated 2 years ago
- Chronos: Pretrained Models for Time Series Forecasting☆5,219Apr 21, 2026Updated last week
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆191Jan 3, 2025Updated last year
- ☆137Jun 13, 2025Updated 10 months ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆228Jan 23, 2026Updated 3 months ago
- A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmap…☆34Nov 13, 2025Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,537Aug 12, 2024Updated last year
- PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…☆159Jul 15, 2025Updated 9 months ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,601Apr 6, 2024Updated 2 years ago
- A curated list of paper, code, data, and other resources focus on multimodal time series analysis.☆220Aug 27, 2025Updated 8 months ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆558Aug 19, 2024Updated last year
- Repository for "FreDF: Learning to Forecast in the Transformed Domain"☆284Nov 3, 2025Updated 5 months ago
- Resources about time series forecasting and deep learning.☆785Updated this week