LiteBrains-AI

LiteBrains-AI/S-Mamba

S-Mamba is an experimental Mamba-based architecture that explores a different way of organizing recurrent state over long sequences. This model uses the relationship between the incoming representation and the existing state to regulate information admission, accumulate structural pressure, and trigger state-release events.

4 good first / help-wanted issues · Python · last activity Sep 30, 2026

ai artificial-intelligence machine-learning mamba state-space-models
4 Open Issues Need Help Last updated: Sep 30, 2026

Open Issues Need Help

View All on GitHub
enhancement good first issue
LiteBrains-AI/S-Mamba
0

S-Mamba is an experimental Mamba-based architecture that explores a different way of organizing recurrent state over long sequences. This model uses the relationship between the incoming representation and the existing state to regulate information admission, accumulate structural pressure, and trigger state-release events.

Python
#ai#artificial-intelligence#machine-learning#mamba#state-space-models
enhancement help wanted
LiteBrains-AI/S-Mamba
0

S-Mamba is an experimental Mamba-based architecture that explores a different way of organizing recurrent state over long sequences. This model uses the relationship between the incoming representation and the existing state to regulate information admission, accumulate structural pressure, and trigger state-release events.

Python
#ai#artificial-intelligence#machine-learning#mamba#state-space-models
enhancement good first issue
LiteBrains-AI/S-Mamba
0

S-Mamba is an experimental Mamba-based architecture that explores a different way of organizing recurrent state over long sequences. This model uses the relationship between the incoming representation and the existing state to regulate information admission, accumulate structural pressure, and trigger state-release events.

Python
#ai#artificial-intelligence#machine-learning#mamba#state-space-models
enhancement help wanted
LiteBrains-AI/S-Mamba
0

S-Mamba is an experimental Mamba-based architecture that explores a different way of organizing recurrent state over long sequences. This model uses the relationship between the incoming representation and the existing state to regulate information admission, accumulate structural pressure, and trigger state-release events.

Python
#ai#artificial-intelligence#machine-learning#mamba#state-space-models