associative-recall

Here are 5 public repositories matching this topic...

AletheionAGI / ASM

Aletheion State Models: an attention-free causal state-model research family derived from DRM, evaluated through ablations and scaling laws.

Updated Aug 12, 2026
Python

Lulzx / subquadratic-sparse-attention

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MLX research prototype for content-routed subquadratic sparse attention and long-context associative recall.

machine-learning research transformers lsh mlx apple-silicon sparse-attention long-context associative-recall

Updated Aug 16, 2026
Python

no-way-labs / recurrent-memory-scaffold

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Orthogonalizing an mLSTM's memory read is a removable training scaffold, not a memory gain — paper, code, and per-seed results.

machine-learning deep-learning pytorch recurrent-neural-networks reproducibility associative-memory sequence-models grokking orthogonalization training-dynamics linear-attention mechanistic-interpretability xlstm mlstm associative-recall

Updated Jul 23, 2026
Python

middesurya / daily-webapp-2026-08-09-deltarulelab

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The Delta Rule Lab — error-correcting memory in linear attention (DeltaNet / Gated DeltaNet). Real in-browser autodiff, live MQAR training, gradient-checked.

machine-learning autodiff deltanet linear-attention claude-code ai-built daily-webapp associative-recall

Updated Aug 9, 2026
HTML

DT-Foss / gssm

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GSSM: a reproducing-kernel framework for the linear-SSM family (Mamba/S5/LRU as parametric special cases) + key-conditioned holographic recall. Research disclosure.

machine-learning deep-learning pytorch recurrent-neural-networks kernel-methods rkhs language-model mamba random-matrix-theory vsa state-space-models parallel-scan sequence-modeling linear-attention holographic-memory doubly-stochastic associative-recall mqar

Updated Jun 26, 2026
Python

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