Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)
☆2,015Jul 17, 2025Updated 7 months ago
Alternatives and similar repositories for iTransformer
Users that are interested in iTransformer are comparing it to the libraries listed below
Sorting:
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,612Feb 23, 2026Updated last week
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,452Aug 12, 2024Updated last year
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆446Nov 27, 2024Updated last year
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆661Dec 1, 2023Updated 2 years ago
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,424Jan 27, 2024Updated 2 years ago
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆2,419Feb 28, 2025Updated last year
- About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pd…☆1,036Apr 2, 2024Updated last year
- Code for "Is Mamba Effective for Time Series Forecasting?"☆371May 20, 2025Updated 9 months ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆557Aug 19, 2024Updated last year
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆641Jan 8, 2024Updated 2 years ago
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,089Jan 29, 2026Updated last month
- The GitHub repository for the paper "Informer" accepted by AAAI 2021.☆6,434Jun 20, 2025Updated 8 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆406Sep 13, 2024Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆239Jul 1, 2024Updated last year
- Scalable and user friendly neural forecasting algorithms.☆3,980Updated this week
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆211Jul 27, 2024Updated last year
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆257Jul 22, 2025Updated 7 months ago
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,531Oct 15, 2025Updated 4 months ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,965Aug 8, 2024Updated last year
- ☆254Aug 14, 2024Updated last year
- [ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"☆1,876Oct 5, 2025Updated 4 months ago
- Unified Training of Universal Time Series Forecasting Transformers☆1,426Jan 29, 2026Updated last month
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆409Apr 2, 2024Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆196Mar 26, 2024Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆228Sep 2, 2025Updated 6 months ago
- Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and sub…☆933Jul 22, 2025Updated 7 months ago
- ☆789Aug 16, 2023Updated 2 years ago
- Implementations, Pre-training Code and Datasets of Large Time-Series Models☆518Jul 21, 2025Updated 7 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆128Mar 23, 2024Updated last year
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆277Jul 7, 2025Updated 7 months ago
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆911Dec 12, 2025Updated 2 months ago
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆256Feb 15, 2026Updated 2 weeks ago
- ☆137Feb 7, 2023Updated 3 years ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆190Jun 5, 2025Updated 8 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆207Feb 11, 2024Updated 2 years ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆220Jan 30, 2025Updated last year
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,002Jul 29, 2025Updated 7 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Jul 15, 2025Updated 7 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆243Feb 22, 2024Updated 2 years ago