Tsetlin Machine for Logical Learning and Reasoning With Graphs
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
MNIST digit classification with hypervectors
Turn graph data into hypervectors to query them via composable HDC queries
Spektre's state-first protocol canon (1=1) — a prose specification of the coherence invariant, shipped beside the creation-os reference kernel that enforces it in code.
Hyperdimensional Memory with RG‑Based Cluster Splitting on Real Text
Experiments on bundling in HDC: adding more and more facts to a bundle, handling missing values and more
A demo showing the benefits of using HDC in a telecom incident scenario
DeepSeek‑φ Hypervector Agent – Full Implementation with Network Communication and all proposed extensions: Thue‑Morse φ‑modulated keys, media adaptation stubs, persistent state, and inter‑agent messaging over TCP.
Experiments to understand what we can recover from a bundled MAP hypervector
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