Code for "Is Mamba Effective for Time Series Forecasting?"
☆394May 20, 2025Updated last year
Alternatives and similar repositories for S-D-Mamba
Users that are interested in S-D-Mamba are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆220Jul 27, 2024Updated 2 years ago
- The code of CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"☆234Nov 16, 2025Updated 9 months ago
- Mamba for Multivariate Time Series Forecasting☆91May 2, 2025Updated last year
- ☆104Mar 10, 2025Updated last year
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆72Oct 2, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 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
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆51Jan 6, 2025Updated last year
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,209Jul 17, 2025Updated last year
- Simba☆219Mar 24, 2024Updated 2 years ago
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆53Aug 7, 2025Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated last year
- MambaStock: Selective state space model for stock prediction☆189Mar 5, 2024Updated 2 years ago
- ☆71Oct 7, 2025Updated 11 months ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆42Jan 16, 2025Updated last year
- 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.
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆138May 17, 2026Updated 3 months ago
- ☆27Aug 19, 2024Updated 2 years ago
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated 2 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆223Feb 11, 2024Updated 2 years ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆286Jul 7, 2025Updated last year
- About Official implementation of "KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecas…☆23Aug 24, 2026Updated 2 weeks ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI 2025)☆140Mar 19, 2025Updated last year
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆69Oct 28, 2024Updated last year
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆145Oct 22, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆12,843Apr 18, 2026Updated 4 months ago
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆128Aug 16, 2024Updated 2 years ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,700Aug 12, 2024Updated 2 years ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆240Sep 2, 2025Updated last year
- Mamba SSM architecture☆18,824Jul 22, 2026Updated last month
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆267Sep 15, 2024Updated last year
- ☆22Jul 1, 2024Updated 2 years ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆80Oct 30, 2024Updated last year
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆150May 29, 2024Updated 2 years 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.
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆450Apr 2, 2024Updated 2 years ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆241Jul 1, 2024Updated 2 years ago
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 9 months ago
- Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".☆96Mar 29, 2024Updated 2 years ago
- ☆45Dec 16, 2023Updated 2 years ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆96Oct 28, 2024Updated last year
- ☆43Jul 4, 2024Updated 2 years ago