GitHub / SVECTOR-CORPORATION / SSMA
Structured State Matrix Architecture (SSMA) is a high-performance framework designed for efficient sequence modeling, combining structured state space models with adaptive attention mechanisms.
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PURL: pkg:github/SVECTOR-CORPORATION/SSMA
Stars: 2
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 139 MB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: ai, architecture, attention-mechanism, deep-learning, machine-learning, memory-efficient, self-attention, sparse-models, ssma