[NeurIPS 2024] Official implementation of the paper "Are Self-Attentions Effective for Time Series Forecasting?"
☆60Dec 31, 2024Updated last year
Alternatives and similar repositories for CATS
Users that are interested in CATS are comparing it to the libraries listed below
Sorting:
- Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)☆29Feb 12, 2025Updated last year
- ☆25Aug 19, 2024Updated last year
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- [NeurIPS 2024] CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting☆20Dec 31, 2024Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 9 months ago
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆29Jan 30, 2025Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Oct 28, 2024Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆97Jun 27, 2025Updated 8 months ago
- ☆23Nov 29, 2024Updated last year
- [ICLR 2024] Official code of RobustTSF☆21Feb 21, 2024Updated 2 years ago
- VQ-TR repository☆12Apr 18, 2024Updated last year
- About Official implementation of "KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecas…☆20Jul 15, 2025Updated 7 months ago
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆27Apr 7, 2024Updated last year
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆255Dec 11, 2025Updated 2 months ago
- [ICML 2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"☆83Apr 14, 2025Updated 10 months ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Mar 28, 2024Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆98Feb 16, 2025Updated last year
- Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization☆30Sep 13, 2024Updated last year
- ☆51May 16, 2024Updated last year
- ☆36Jul 5, 2024Updated last year
- ☆17Jan 7, 2025Updated last year
- PatchAD, TBD 2025, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Tim…☆42Aug 18, 2025Updated 6 months ago
- ☆39Oct 16, 2024Updated last year
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 3 months ago
- Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)☆17Feb 28, 2025Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆78Oct 30, 2024Updated last year
- ☆110Jun 11, 2025Updated 8 months ago
- ☆38Dec 25, 2024Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- ☆70Oct 7, 2025Updated 4 months ago
- The official implementation of paper "Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting" (DASFAA 2026)☆17Feb 9, 2026Updated 2 weeks ago
- [ICLR 2025] Official Implementation of "TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting"☆23Mar 10, 2025Updated 11 months ago
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- [AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"☆110Apr 15, 2025Updated 10 months ago
- ☆39Nov 8, 2025Updated 3 months ago
- This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…☆23Oct 30, 2024Updated last year
- ☆46Jul 25, 2024Updated last year