Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation (AAAI 2025)
☆42Mar 7, 2025Updated last year
Alternatives and similar repositories for TAFAS
Users that are interested in TAFAS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Jan 17, 2025Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆131Mar 23, 2024Updated 2 years ago
- Code acompaning the paper titled "Mamba time series forecasting with uncertainty quantification"☆22Aug 8, 2025Updated 8 months ago
- Official implementations of "Frequency-masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning (AA…☆21Apr 10, 2026Updated 3 weeks ago
- This is the official repository for the ICLR 2025 Conference Paper - Fast and Slow Streams for Online Time Series Forecasting without Inf…☆17Apr 30, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆76Sep 4, 2024Updated last year
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆127Nov 27, 2024Updated last year
- ☆20Apr 15, 2025Updated last year
- The code for FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting☆28May 11, 2025Updated 11 months ago
- The code for TFPS☆66Nov 8, 2024Updated last year
- ☆27Feb 28, 2025Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆16May 3, 2025Updated last year
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- ☆26Apr 18, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICML'25] Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | 样本级别的自适应多模型集成时间序列预测☆27May 22, 2025Updated 11 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆46Apr 22, 2025Updated last year
- Official implementation of "DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting" (NeurIPS 2024)☆23Oct 28, 2024Updated last year
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆50May 29, 2025Updated 11 months ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆115Feb 9, 2025Updated last year
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆97Jan 23, 2026Updated 3 months ago
- Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online…☆58Dec 25, 2025Updated 4 months ago
- Time Series Forecasting, Distribution Shift☆103Jul 11, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆269Mar 7, 2026Updated last month
- ☆35Jun 19, 2025Updated 10 months ago
- [ICLR 2025] Official Implementation of "TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting"☆25Mar 10, 2025Updated last year
- [NeurIPS 2025] Official Implementation for "Glocal Information Bottleneck for Time Series Imputation"☆15Nov 4, 2025Updated 5 months ago
- [NeurIPS 2024] Official Implementation of "SDformer: Similarity-driven Discrete Transformer For Time Series Generation"☆15May 23, 2025Updated 11 months ago
- ☆42Nov 8, 2025Updated 5 months ago
- A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmap…☆34Nov 13, 2025Updated 5 months ago
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆17Mar 8, 2024Updated 2 years ago
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆31Jul 29, 2025Updated 9 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting (AAAI-2025)☆83Nov 27, 2025Updated 5 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆93Oct 28, 2024Updated last year
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- [ICLR 2025] Official implementation of "Towards Neural Scaling Laws for Time Series Foundation Models"☆21Oct 15, 2025Updated 6 months ago
- Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design☆18Aug 7, 2024Updated last year
- MASS-SPEC ATTENDS TO DE NOVO MOLECULAR GENERATION☆20Sep 23, 2025Updated 7 months ago
- PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"☆19Jun 2, 2024Updated last year