Training backend for Cell Observatory models
-
Updated
Sep 25, 2026 - Python
Training backend for Cell Observatory models
Reference implementation of the Spiral–HDAG–Coupling architecture. It combines a verifiable ledger, a tensor-based Hyperdimensional DAG, and Time Information Crystals to provide a new kind of memory layer for Machine Learning. With integrated Zero-Knowledge ML, the system enables trustworthy, auditable, and privacy-preserving AI pipelines.
We continue with the status quo’s we are headed for extinction .
Physical signature modeling of 5D manifold intersections using SO(5) Lie Algebra and relativistic lensing.
To associate your repository with the 5d topic, visit your repo's landing page and select "manage topics."