Tsetlin Machine for Logical Learning and Reasoning With Graphs
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Updated
Apr 13, 2026 - Python
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
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.
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
Hyperdimensional Memory with RG‑Based Cluster Splitting on Real Text
Turn graph data into hypervectors to query them via composable HDC queries
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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