Official Code for "SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting" (KDD 2025)
☆11Apr 7, 2026Updated 6 months ago
Alternatives and similar repositories for SAMBA
Users that are interested in SAMBA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- About Official implementation of "KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecas…☆23Aug 24, 2026Updated last month
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆18Jul 19, 2024Updated 2 years ago
- A framework for time series modeling using adaptive expertise.☆12Aug 30, 2024Updated 2 years ago
- Code acompaning the paper titled "Mamba time series forecasting with uncertainty quantification"☆24Aug 8, 2025Updated last year
- Official implements for 'CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting'.☆37Sep 4, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official implementation of DMamba☆16Oct 12, 2026Updated last week
- [WWW 2026 Accepted] GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting☆15Jun 22, 2026Updated 4 months ago
- [ICLR 2026] GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables☆27Mar 10, 2026Updated 7 months ago
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆34Mar 11, 2026Updated 7 months ago
- The code of CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"☆235Nov 16, 2025Updated 11 months ago
- [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification☆16Jun 17, 2024Updated 2 years ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI 2025)☆140Mar 19, 2025Updated last year
- [AAAI 2026] The implementation of DiMTS: Bridge the Gap between Selective State Space Models and Time Series for Generative Modeling.☆15Nov 28, 2025Updated 10 months ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆73Oct 2, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PhaseFormer's official implementation, compatible with TSL.☆34Mar 10, 2026Updated 7 months ago
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆60Jul 31, 2025Updated last year
- A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmap…☆36Sep 23, 2026Updated 3 weeks ago
- ☆19Sep 4, 2023Updated 3 years ago
- The code for FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting☆31May 11, 2025Updated last year
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated 2 years ago
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- Display of data sets and core code in STCGCN☆28Nov 16, 2022Updated 3 years ago
- ☆11Mar 23, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆23Aug 27, 2022Updated 4 years ago
- Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based model…☆56Oct 11, 2024Updated 2 years ago
- [AAAI 2026] Official implementation of "TimeMosaic: Information-Density Guided Time Series Forecasting via Adaptive Granularity Patch and…☆80Mar 24, 2026Updated 6 months ago
- Code release of paper "MLGN: Multi-Scale Local-Global Feature Learning Network for Long-term Series Forecasting" 💚☆16May 31, 2024Updated 2 years ago
- FreqCycle boosts time series forecasting by jointly modeling low-frequency patterns and enhanced mid to high frequency features through …☆22Nov 10, 2025Updated 11 months ago
- ☆105Mar 10, 2025Updated last year
- ☆23Mar 23, 2026Updated 6 months ago
- Welcome to the official repository of **MixLinear**, the ICLR 2026 paper.☆52Aug 19, 2026Updated 2 months ago
- ☆20Jan 16, 2025Updated last year
- 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.
- UCLA CS 188 (Winter 2023) course project.☆12Mar 31, 2023Updated 3 years ago
- PyTorch implementation of Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gat…☆17May 2, 2025Updated last year
- ☆51Aug 6, 2025Updated last year
- Spatio-Spectral Graph Neural Networks (S²GNN)☆20Feb 25, 2025Updated last year
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆20Jun 20, 2025Updated last year
- Official implementation for AAAI 2026 paper: SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting☆23Nov 25, 2025Updated 10 months ago
- ☆45Dec 16, 2023Updated 2 years ago