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supermario-optimizer
supermario-optimizer PublicSMO (Super Mario Optimizer) is an ultra-memory-efficient PyTorch optimizer designed to solve the "Memory Wall" problem in Deep Learning. It reduces the optimizer state memory by 60-93% while retain…
Python
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dge-optimizer
dge-optimizer PublicA memory-efficient, gradient-free zeroth-order (derivative-free) optimizer designed to solve the "Curse of Dimensionality" in Black-Box optimization and memory-constrained Machine Learning. It prov…
Python
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k-alternatives-meta-algorithm
k-alternatives-meta-algorithm Publick-Alternatives is a stochastic search algorithm designed to optimize combinatorial problems by exploring controlled deviations from a heuristic baseline. Originally designed for the Traveling Sales…
JavaScript 1
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attention-neuron
attention-neuron PublicA neural architecture framework exploring low-rank multiplicative gating, spectral orthogonal bases (DCT/Walsh), complex-valued phase mixers, and conformal geometry over frozen substrates. Learning…
Python
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soma
soma PublicSOMA: Sovereign Operative Memory Architecture — A cognitive operating system for long-horizon autonomous agents
JavaScript
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tiny-thinker
tiny-thinker PublicUn experimento educativo para construir, entrenar y evaluar un Modelo de Lenguaje Pequeño/Grande experimental **(~100M parámetros)** completamente desde cero usando PyTorch.
Python
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