Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803
☆239Jul 1, 2024Updated last year
Alternatives and similar repositories for Koopa
Users that are interested in Koopa are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆128Mar 23, 2024Updated last year
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆557Aug 19, 2024Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Sep 13, 2023Updated 2 years 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
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 9 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆243Feb 22, 2024Updated 2 years ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆125Nov 27, 2024Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆211Jul 27, 2024Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆196Mar 26, 2024Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆105Nov 10, 2024Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆207Feb 11, 2024Updated 2 years ago
- 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
- A library for Koopman Neural Operator with Pytorch.☆320Oct 5, 2024Updated last year
- 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
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆122Mar 19, 2025Updated 11 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆406Sep 13, 2024Updated last year
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,015Jul 17, 2025Updated 7 months ago
- ☆110Jun 11, 2025Updated 8 months ago
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆190Jan 3, 2025Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆228Sep 2, 2025Updated 6 months ago
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆641Jan 8, 2024Updated 2 years ago
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆95Dec 29, 2024Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Oct 28, 2024Updated last year
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆257Jul 22, 2025Updated 7 months ago
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆122Aug 16, 2024Updated last year
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆242Jul 21, 2025Updated 7 months ago
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆89Jan 23, 2026Updated last month
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,612Updated this week
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆79Feb 20, 2025Updated last year
- An up-to-date list of time-series related papers in AI venues.☆432Jun 15, 2024Updated last year
- [AAAI 2026] Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing☆34Jan 27, 2026Updated last month
- ☆30Nov 10, 2023Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Mar 28, 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
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆41Jan 16, 2025Updated 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
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆255Dec 11, 2025Updated 2 months ago