{"data":{"full_name":"Efficient-Scalable-Machine-Learning/event-based-mamba","name":"event-based-mamba","description":"Building on our prior work on event-based state-space models, we developed an event-based state-space model based on the Mamba architecture for asynchronous streams of events such as event-based vision, spiking audio and point clouds.","stars":3.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"state-space-model-architectures","last_pushed_at":"2025-10-01T13:10:31+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":3.0,"maturity_score":15.0,"community_score":0.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T15:34:27.949968+00:00"}}