VEWOXIC / FITSLinks
FITS: Frequency Interpolation Time Series Analysis Baseline
☆196Updated last month
Alternatives and similar repositories for FITS
Users that are interested in FITS are comparing it to the libraries listed below
Sorting:
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆211Updated last month
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆104Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆86Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆121Updated 6 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆155Updated 2 weeks ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆181Updated last month
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆170Updated last month
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆254Updated last week
- ☆134Updated 2 years ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆180Updated last year
- Time Series Forecasting, Distribution Shift☆90Updated 2 years ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆119Updated 2 years ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆224Updated last year
- [Under Review] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." Thi…☆134Updated 8 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆92Updated 10 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆175Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆354Updated 10 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆321Updated last year
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆212Updated 5 months ago
- ☆87Updated last year
- ☆228Updated 11 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆109Updated 3 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆210Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆183Updated 11 months ago
- ☆95Updated last month
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆181Updated 9 months ago
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆226Updated 2 years ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆96Updated 8 months ago
- A code implementation of new papers in the time series forecasting field.☆122Updated last year
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆226Updated 2 years ago