aikunyi / FilterNetLinks
Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"
☆211Updated 11 months ago
Alternatives and similar repositories for FilterNet
Users that are interested in FilterNet are comparing it to the libraries listed below
Sorting:
- FITS: Frequency Interpolation Time Series Analysis Baseline☆226Updated 4 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆205Updated last year
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆217Updated 7 months ago
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆246Updated last month
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆237Updated last year
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆239Updated 3 weeks ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆190Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆391Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆244Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆94Updated 10 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆361Updated 7 months ago
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆253Updated 5 months ago
- ☆251Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆73Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆121Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆206Updated last year
- ☆108Updated 6 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆188Updated 7 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆131Updated 5 months ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆273Updated 6 months ago
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆126Updated 3 weeks ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Updated last year
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆124Updated last month
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆104Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆209Updated last year
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers."☆110Updated 2 years ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆88Updated last year
- Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".☆82Updated last year
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆107Updated 10 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Updated 2 years ago