awesome-ssm-ml
github.com/avivbick/awesome-ssm-ml ↗Reading list for research topics in state-space models
366
GitHub Stars
161
Curated Resources
17
Categories
21 hours ago
Last Refreshed
TutorialsSurveys (Structured State Space Models)Books (Classical State Space Models)FoundationDistillationArchitecturesRelated Efficient Sequence ModelsSSM Parameterization and InitializationSystems OptimizationsVisionLanguageAudioTime-SeriesMedicalGenomics / BiologyTabularReinforcement Learning
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me theory, analysis, and limitations resources from awesome-ssm-ml"
Installation instructions →What's inside
Vision
- 2-D SSM: A General Spatial Layer for Visual Transformers
- DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding
- Efficient Movie Scene Detection using State-Space Transformers
- LocalMamba: Visual State Space Model with Windowed Selective Scan
- Long movie clip classification with state-space video models
- MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Foundation
- An Empirical Study of Mamba-based Language ModelsTheory, Analysis, and Limitations
- Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning TasksTheory, Analysis, and Limitations
- Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural NetsTheory, Analysis, and Limitations
- Longhorn: State Space Models are Amortized Online LearnersTheory, Analysis, and Limitations
- Mamba-3: Improved Sequence Modeling using State Space PrinciplesCore Mamba Lineage
- Mamba: Linear-Time Sequence Modeling with Selective State SpacesCore Mamba Lineage
Audio
- A Neural State-Space Model Approach to Efficient Speech Separation
- Audio Mamba: Bidirectional State Space Model for Audio Representation Learning
- Augmenting conformers with structured state space models for online speech recognition
- Diagonal State Space Augmented Transformers for Speech Recognition
- Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation
- It's Raw! Audio Generation with State-Space Models
Surveys (Structured State Space Models)
- A Survey on Structured State Space Sequence (S4) Models
- A Survey on Visual Mamba
- Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges
- Modeling Sequences with Structured State Spaces
- State Space Model for New-Generation Network Alternative to Transformers
- State Space Models as Foundation Models: A Control Theoretic Overview
Tutorials
Medical
- BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba
- Diffusion-based conditional ECG generation with structured state space models
- fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models
- I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling
- Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
- MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
Architectures
- BlackMamba: Mixture of Experts for State-Space ModelsCore SSM / Mamba Architectures
- Block-State TransformersHybrid SSM-Transformer Architectures
- DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language ModelsCore SSM / Mamba Architectures
- Efficient Long Sequence Modeling via State Space Augmented TransformerHybrid SSM-Transformer Architectures
- Hymba: A Hybrid-head Architecture for Small Language ModelsHybrid SSM-Transformer Architectures
- Jamba-1.5: Hybrid Transformer-Mamba Models at ScaleHybrid SSM-Transformer Architectures
Genomics / Biology
Showing a sample of 161 resources. View the full list on GitHub →