associative-recall

Here are 2 public repositories matching this topic...

DT-Foss / gssm

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

no-way-labs / recurrent-memory-scaffold

Star

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 2, 2026
Python

Improve this page

Add a description, image, and links to the associative-recall topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the associative-recall topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly