Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
☆18Nov 17, 2025Updated 10 months ago
Alternatives and similar repositories for OCE-TS
Users that are interested in OCE-TS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [AAAI 2026] Official implementation of "Time Series Forecasting via Direct Per-Step Probability Distribution Modeling"☆37Dec 10, 2025Updated 9 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
- ScatterAD leverages representation scattering as an inductive signal to jointly model temporal and topological patterns for effective mul…☆22Oct 1, 2025Updated 11 months ago
- This is an official pytorch implementation for paper "Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series" (ICML-25).☆20May 2, 2025Updated last year
- ☆68Dec 30, 2025Updated 8 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.
- ☆51Aug 6, 2025Updated last year
- Official implementation for AAAI 2026 paper: SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting☆23Nov 25, 2025Updated 9 months ago
- PyTorch Implementation of "Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting" (ICLR 2026)☆29Jun 10, 2026Updated 3 months ago
- [KDD 2025] TimeCapsule☆19May 9, 2026Updated 4 months ago
- PhaseFormer's official implementation, compatible with TSL.☆34Mar 10, 2026Updated 6 months ago
- official implementation for "DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment"☆19Sep 29, 2025Updated 11 months ago
- ☆40Dec 25, 2024Updated last year
- [AAAI 2026 Oral] Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline☆64Apr 22, 2026Updated 4 months ago
- ☆26Mar 18, 2026Updated 6 months 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.
- Pytorch implementation of NeurIPS'25 paper: Improving Time Series Forecasting via Instance-aware Post-hoc Revision☆51Oct 26, 2025Updated 10 months ago
- [NeurIPS 2025] DBLoss: Decomposition-based Loss Function for Time Series Forecasting☆45Mar 12, 2026Updated 6 months ago
- Official implements for 'CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting'.☆35Sep 4, 2026Updated 2 weeks ago
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆58Jul 31, 2025Updated last year
- Quantile regression neural networks☆20Dec 2, 2023Updated 2 years ago
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 10 months ago
- [ICML 2026] Official PyTorch implementation of From Observations to States: Latent Time Series Forecasting☆30May 23, 2026Updated 3 months ago
- The code for FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting☆31May 11, 2025Updated last year
- Source code and datasets for DualCD☆15Feb 3, 2026Updated 7 months 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.
- [ICDE 2026] Code for "FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis".☆23Dec 17, 2025Updated 9 months ago
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆122Jun 27, 2025Updated last year
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated 2 years ago
- A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmap…