Code repository for the Animal AI Olympics competition
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Updated
Aug 27, 2022 - Python
Code repository for the Animal AI Olympics competition
Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.
Context Compiler for AI agents
A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.
Contains code used for supporting evidences of medium articles
The Brotherhood Public tools
Word Analysis
Intended to measure planning and reasoning in LLMs
An understanding layer for adaptive AI products
Alles fließt. Aus Paradox wird Zeit, Raum, Welt, und wieder Selbstbezug
Self Supervised Color Constancy Learning
BERT-Based Cognitive Engagement Classifier for Social Media Comments A lightweight BERT model fine-tuned to classify short comments in science communication into 4 ICAP-based engagement levels
Open-source AI cognition layer — circuit-level topology engine producing verifiable FIRE events, bus validation receipts, and falsifiable cognition records in real time. AGPL-3.0.
Create stimuli pools for psychological research
Noēsis is a lightweight cognitive control layer for agent workflows.
Problem complexity classification and learning progression framework with quantitative wickedness assessment methodology. Features 5 problem tiers (Simple→Super-Wicked), Base-N architecture (Base6→BASE120), and empirical validation from HUMMBL mental models research. Includes automated quality control and community templates.
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.
A project aimed at analysing experimental human eye data to better understand the spatiotemporal dynamics of covert attention.
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