[ICLR 2026] Aurora: Towards Universal Generative Multimodal Time Series Forecasting
☆66Apr 29, 2026Updated 2 months ago
Alternatives and similar repositories for Aurora
Users that are interested in Aurora are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmap…☆35Nov 13, 2025Updated 8 months ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆16May 3, 2025Updated last year
- [KDD 2026] Official implementation of "TimeDistill: Efficient Long-Term Time Series Forecasting with MLPs via Cross-Architecture Distilla…☆27Mar 22, 2026Updated 3 months ago
- ☆20Mar 23, 2026Updated 3 months ago
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆53Jul 31, 2025Updated 11 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆283May 12, 2026Updated 2 months ago
- Official implementation for "CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting" (I…☆27May 6, 2025Updated last year
- ☆31Aug 9, 2025Updated 11 months ago
- [ICLR 2024] Official code of RobustTSF☆21Feb 21, 2024Updated 2 years ago
- A structured, engineering-grade time-series forecasting benchmark.☆57Jul 4, 2026Updated last week
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆45Jan 19, 2026Updated 5 months ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆57Sep 3, 2025Updated 10 months ago
- Official implementation of "DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting" (NeurIPS 2024)☆26Oct 28, 2024Updated last year
- Time-HD-Lib: A Library for High-Dimensional Time Series Forecasting☆53Jan 26, 2026Updated 5 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [AAAI 2026] Official implementation of "TimeMosaic: Information-Density Guided Time Series Forecasting via Adaptive Granularity Patch and…☆78Mar 24, 2026Updated 3 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆135May 17, 2026Updated last month
- [ICML 2025] Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting☆127Jun 6, 2026Updated last month
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆15Jan 26, 2026Updated 5 months ago
- ☆10Dec 17, 2024Updated last year
- Expert Systems with Applications (ESWA - JCR Q1, SCI Q1)☆13Jul 19, 2025Updated 11 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆117Jun 27, 2025Updated last year
- SimAD, deep learning, anomaly detection, outlier detection, time series, TNNLS, 2025. "SimAD: A Simple Dissimilarity-based Approach for T…☆33Jan 19, 2026Updated 5 months ago
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆33Mar 11, 2026Updated 4 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆21Feb 26, 2024Updated 2 years ago
- The code for TFPS☆71Nov 8, 2024Updated last year
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Jan 21, 2022Updated 4 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆81Sep 4, 2024Updated last year
- [AAAI 2026 Oral] Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline☆60Apr 22, 2026Updated 2 months ago
- ☆19Sep 4, 2023Updated 2 years ago
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆113May 6, 2026Updated 2 months ago
- The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of …☆140Feb 23, 2025Updated last year
- Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation (AAAI 2025)☆46Mar 7, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [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☆31May 22, 2025Updated last year
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated 2 years ago
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆37Jul 29, 2025Updated 11 months ago
- State-of-art Foundational Time-series models☆36Jun 22, 2026Updated 3 weeks ago
- This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…☆22Oct 30, 2024Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆80Oct 30, 2024Updated last year
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆237Jan 23, 2026Updated 5 months ago