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.
☆39Updated last year
Alternatives and similar repositories for Mamba4Cast
Users that are interested in Mamba4Cast are comparing it to the libraries listed below
Sorting:
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆22Updated 4 months ago
- ☆46Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆103Updated last year
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆35Updated 3 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆82Updated 3 years ago
- The code for TFPS☆47Updated last year
- Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral☆21Updated 9 months ago
- The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"☆59Updated 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…☆57Updated last year
- ☆29Updated 4 years ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆122Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆88Updated 11 months ago
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆29Updated last year
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆61Updated 3 months ago
- ☆73Updated last year
- ☆43Updated last year
- [ICML 2025] Official implementation of "AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasti…☆41Updated 5 months ago
- [ICLR 2024] Official code of RobustTSF☆21Updated last year
- AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)☆68Updated 6 months ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆39Updated 11 months ago
- [NeurIPS 2024] Continuous Temporal Domain Generalization☆53Updated 8 months ago
- ☆18Updated 2 years ago
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆87Updated 10 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆91Updated 2 years ago
- ☆35Updated last year
- ☆68Updated 2 years ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆95Updated last year
- Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"☆31Updated last year
- ☆21Updated 2 years ago
- ☆97Updated 3 years ago