FITS: Frequency Interpolation Time Series Analysis Baseline
☆240Sep 2, 2025Updated last year
Alternatives and similar repositories for FITS
Users that are interested in FITS 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 implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆45Apr 22, 2025Updated last year
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆151May 29, 2024Updated 2 years ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆199Mar 26, 2024Updated 2 years ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆101Sep 13, 2023Updated 3 years ago
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆275Mar 4, 2026Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆290Jul 7, 2025Updated last year
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆145Oct 22, 2024Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆140May 17, 2026Updated 4 months ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆240Jan 23, 2026Updated 8 months ago
- Official implementation of the paper "Mixture-of-Linear-Experts for Long-term Time Series Forecasting" (AISTATS 2024)☆43Feb 4, 2026Updated 8 months ago
- [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective☆22Nov 22, 2024Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆191Jun 5, 2025Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆136Mar 23, 2024Updated 2 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆442Sep 13, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆452Apr 2, 2024Updated 2 years ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated last year
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆16Jan 3, 2025Updated last year
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆32Mar 11, 2026Updated 7 months ago
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,199Aug 14, 2026Updated last month
- This is an official pytorch implementation for paper "Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series" (ICML-25).☆20May 2, 2025Updated last year
- ☆45Dec 16, 2023Updated 2 years ago
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆52Jan 6, 2025Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆98Aug 26, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆96Oct 28, 2024Updated last year
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,519Jan 27, 2024Updated 2 years ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆267Sep 15, 2024Updated 2 years ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆161May 6, 2024Updated 2 years ago
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆37Apr 17, 2023Updated 3 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆224Feb 11, 2024Updated 2 years ago
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆672Jan 8, 2024Updated 2 years ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆46Feb 17, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The code for TFPS☆74Nov 8, 2024Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆242Jul 1, 2024Updated 2 years ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆42Jan 16, 2025Updated last year
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆296May 12, 2026Updated 5 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆221Jul 27, 2024Updated 2 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆250Feb 22, 2024Updated 2 years ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆226Mar 11, 2026Updated 7 months ago