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Neuron is a composable agent framework inspired by cognitive neuroscience. It enables you to build, orchestrate, and monitor intelligent multi-agent systems using a modular circuit-based architecture.
A professional exploration of reflective analytics, dashboards that evolve through user interaction. This project reimagines BI systems as adaptive, cognitive mirrors that learn analyst behavior, anticipate reasoning patterns, and transform data visualization into a collaborative, intelligent process.
👀🛡️ Code for the paper “Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2025)
KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.
AI-native programming language and runtime. Sigma ISA, Omega compiler, CCS cognitive VM. Built for AI agents. Humans and AI as first-class contributors. AGPL-3.0.
CodegniPy is a groundbreaking Python library that elevates AI to a first-class citizen of the language. It introduces a cognitive computing engine where deterministic code and non‑deterministic LLM reasoning coexist seamlessly, enabling you to write Python with intent rather than just instructions.
QuantumCogGen — Quantum-inspired cognitive generation engine for synthesizing novel AI reasoning patterns using quantum probability mechanics and tensor network architectures. Python. By Or4cl3 AI Solutions.
ORACLE is a powerful AI system that automates research using multiple intelligent agents, providing fast, accurate, and presentation-ready insights from complex data
QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).
Full pipeline reproduction of the Big Data and Cognitive Computing (BDCC) paper “ICD Prediction from MIMIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art.” The repository includes notebooks, training scripts, processed datasets, and Docker setups for both AMD and NVIDIA GPUs.