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Sparkydev007/mamba-ssm-research — GitHub trending stats & insights | Trendshift
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Sparkydev007/mamba-ssm-research
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PyTorch implementation of a Selective State Space Model (SSM) using the Mamba architecture. Designed as a diagnostic framework, it features a custom signal-to-noise synthetic dataset generator to evaluate latent state memory trajectories.
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Python
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1/ Transformers scale quadratically ($O(L^2)$). State Space Models (SSMs) scale linearly ($O(L)$). To investigate this duality from first principles, I built mamba-ssm-research—a clean-room PyTorch…
@prathmesh_1709 · x.com
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