About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
☆152Sep 9, 2023Updated 2 years ago
Alternatives and similar repositories for FECAM
Users that are interested in FECAM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code release of paper "MLGN: Multi-Scale Local-Global Feature Learning Network for Long-term Series Forecasting" 💚☆16May 31, 2024Updated last year
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆19Jun 20, 2025Updated 10 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆216Feb 11, 2024Updated 2 years ago
- ☆136Feb 7, 2023Updated 3 years ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆134Mar 19, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 6 months ago
- ☆32Jul 1, 2024Updated last year
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆259Sep 15, 2024Updated last year
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆56Jan 9, 2024Updated 2 years ago
- ☆26Aug 19, 2024Updated last year
- ☆69Nov 26, 2024Updated last year
- SimAD, deep learning, anomaly detection, outlier detection, time series, TNNLS, 2025. "SimAD: A Simple Dissimilarity-based Approach for T…☆32Jan 19, 2026Updated 4 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆105Feb 16, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆129Feb 11, 2023Updated 3 years ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆217Jul 27, 2024Updated last year
- ☆261Aug 14, 2024Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆14Apr 27, 2024Updated 2 years ago
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆52Aug 7, 2025Updated 9 months ago
- Code support as a published paper！☆76Apr 29, 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
- [TMLR 2025] This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series…☆40Dec 20, 2025Updated 5 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆142Oct 22, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official implementation of paper: LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Serie…☆18Dec 19, 2025Updated 5 months ago
- ☆47Dec 16, 2023Updated 2 years ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆198Mar 26, 2024Updated 2 years ago
- Transformer based model for time series prediction☆132May 9, 2022Updated 4 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆558Aug 19, 2024Updated last year
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆30Mar 11, 2026Updated 2 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆246Feb 22, 2024Updated 2 years ago
- Time Series Forecasting with Dynamic Graph Modeling☆16Aug 31, 2025Updated 8 months ago
- ☆15Oct 25, 2022Updated 3 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.
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆133Mar 23, 2024Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆81Mar 28, 2024Updated 2 years ago
- TSCMamba: Mamba meets multi-view learning for time series classification☆21Apr 16, 2025Updated last year
- ☆16Jan 20, 2025Updated last year
- ☆70Oct 7, 2025Updated 7 months ago
- Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”☆33Dec 26, 2024Updated last year
- Unofficial Reproduction: Capacity estimation of lithium-ion batteries based on adaptive empirical wavelet transform and long short-term m…☆12Oct 28, 2024Updated last year