A framework for viewpoint selection of 3D models

📊 Explore how Shannon entropy and mutual information can quantify prompt quality in generative AI systems across various temperature settings.

🧠 Explore foundational concepts of generative AI with PyTorch scripts covering probability, information theory, and essential modeling techniques.

🌌 Simulate how agents reach a stable "heaven" state by modeling ψ–Ω–γ thresholds, exploring identity and meaning through entropy dynamics.

A self-verifying proof that the Thiele Machine is a universal model of computation which strictly contains the Turing Machine as a blind, special case. All open source.

A rule-based foundational ontology and applied physics framework exploring definition discipline, spacetime resistance, gravity, cognition, and field-first engineering.

A comprehensive course project on information theory that implements and analyzes PNG and GIF encoding algorithms for efficient image compression.

Code and talk materials for "Relating Loss Function Scaling in Neural Language Models to Hilberg's Conjecture" (ICSDS 2025)

An open-source library for Python 3 providing tools for analysis and simulation of analog and digital communication systems.

framework for guiding model compression through preservation of semantic competence rather than surface-level predictive accuracy.

HadithRank: Percentage-Based Algorithmic Replacement for Sahih-Daif

Go library for causal inference with original SCIC™ algorithm for directional causality analysis. Includes SURD (information-theoretic) and VarSelect (LASSO-based) methods. High-performance, production-ready.

Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)

Dimensionality Reduction for Integrated Activity Data

Unified Information-Density Theory v3.6 achieves full parameter-free synthesis of quantum and classical physics. Mass gap closure, cosmological constant solution, Casimir anomaly proof, and full reproducibility (Python HMC/code/datasets). ↶ View Superseded

Official implementation of the paper: Learning a distance measure from the information-estimation geometry of data

THE Wordle Solver

A post-symbolic physics framework modeling intelligence, collapse, and emergence through entropy flow.