PeterOvermann/TriadicMemory
Cognitive Computing with Associative Memory
Implements tridirectional associative memory on sparse distributed representations (SDRs), enabling one-shot learning and noise-tolerant content-addressable retrieval from incomplete queries. The core Triadic Memory algorithm stores ordered triples of binary hypervectors with cubic capacity scaling: (n/p)³ at dimension n and sparsity p. Provides multi-language implementations (C, Python, Rust, Julia, etc.) and composable circuit primitives for building recurrent architectures like Deep Temporal Memory for temporal pattern recognition.
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Language
Mathematica
License
MIT
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Last pushed
Feb 11, 2024
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0
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