Tims2D / Times2DLinks
A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmaps to achieve state-of-the-art performance.
☆33Updated 2 months ago
Alternatives and similar repositories for Times2D
Users that are interested in Times2D are comparing it to the libraries listed below
Sorting:
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆43Updated 5 months ago
- ☆24Updated last year
- ☆38Updated last year
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Updated 2 months ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆55Updated last year
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆18Updated 6 months ago
- Official implementation for "CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting" (I…☆25Updated 8 months ago
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆85Updated 7 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆90Updated 6 months ago
- The code for TFPS☆61Updated last year
- The code for FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting☆26Updated 8 months ago
- ☆21Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆114Updated 10 months ago
- ☆44Updated 5 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆97Updated 11 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆77Updated 10 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆90Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Updated last year
- ☆68Updated 3 months ago
- Code and logs for Paper：Revisiting Attention for Multivariate Time Series Forecasting☆25Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15Updated 8 months ago
- ☆47Updated 7 months ago
- The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"☆45Updated 10 months ago
- ☆108Updated 7 months ago
- Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)☆27Updated 11 months ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆41Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Updated last year
- Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting☆37Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆131Updated 6 months ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆52Updated last year