Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803
☆243Jul 1, 2024Updated 2 years ago
Alternatives and similar repositories for Koopa
Users that are interested in Koopa are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆136Mar 23, 2024Updated 2 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆567Aug 19, 2024Updated 2 years ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆101Sep 13, 2023Updated 3 years ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆200Mar 26, 2024Updated 2 years ago
- ☆27Aug 19, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆140May 17, 2026Updated 5 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆106Nov 10, 2024Updated last year
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆250Feb 22, 2024Updated 2 years ago
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated 2 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆224Feb 11, 2024Updated 2 years ago
- ☆114Jun 11, 2025Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated last year
- A library for Koopman Neural Operator with Pytorch.☆334Oct 5, 2024Updated 2 years ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆127May 25, 2026Updated 5 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- FITS: Frequency Interpolation Time Series Analysis Baseline☆239Sep 2, 2025Updated last year
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,204Aug 14, 2026Updated 2 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆101Dec 29, 2024Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆162May 6, 2024Updated 2 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆446Sep 13, 2024Updated 2 years ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆292Jul 7, 2025Updated last year
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆13,018Apr 18, 2026Updated 6 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆96Oct 28, 2024Updated 2 years ago
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,527Jan 27, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,741Aug 12, 2024Updated 2 years ago
- ☆13Aug 8, 2024Updated 2 years ago
- ☆139Mar 4, 2026Updated 7 months ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆72Oct 28, 2024Updated 2 years ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆222Jul 27, 2024Updated 2 years ago
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆269Jul 22, 2025Updated last year
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆251Jul 21, 2025Updated last year
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆90Sep 29, 2026Updated last month
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,238Jul 17, 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.
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆674Jan 8, 2024Updated 2 years ago
- Repository for "FreDF: Learning to Forecast in the Transformed Domain"☆283Jul 1, 2026Updated 3 months ago
- [ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"☆1,997Oct 5, 2025Updated last year
- See the official code and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models"☆16Aug 19, 2024Updated 2 years ago
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆711Dec 1, 2023Updated 2 years ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆131Feb 11, 2023Updated 3 years ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI 2025)☆140Mar 19, 2025Updated last year