automl / Mamba4CastLinks
Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training data to generalize robustly without fine-tuning.
☆29Updated 8 months ago
Alternatives and similar repositories for Mamba4Cast
Users that are interested in Mamba4Cast are comparing it to the libraries listed below
Sorting:
- ☆39Updated last year
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆17Updated last month
- ☆35Updated 11 months ago
- [ICLR 2024] Official code of RobustTSF☆20Updated last year
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆50Updated 9 months ago
- [ICLR'24] Official PyTorch Implementation of ContraLSP☆30Updated last year
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆78Updated 2 years ago
- ☆11Updated last year
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆38Updated last month
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Updated last year
- ☆71Updated last year
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆32Updated 11 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆82Updated 5 months ago
- This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…☆35Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆94Updated 7 months ago
- Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation (AAAI 2025)☆16Updated 3 months ago
- [ICML'24] Official PyTorch Implementation of TimeX++☆25Updated 7 months ago
- Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)☆30Updated 3 years ago
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆22Updated 11 months ago
- Time series explainability via self-supervised model behavior consistency☆48Updated last year
- [NeurIPS 2024] Continuous Temporal Domain Generalization☆45Updated 3 months ago
- ☆53Updated 2 years ago
- ☆48Updated 2 years ago
- ☆29Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 7 months ago
- ☆17Updated 6 months ago
- The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"☆53Updated last year
- ☆33Updated last year
- ☆37Updated last year