Sentiment Analysis Framework for Researcher with Pytorch

Offline Federated RL for O-RAN slice resource management on Colosseum traces

DSPy framework for detecting and preventing safety override cascades in LLM systems. Research-grade implementation for studying when completion urgency overrides safety constraints.

Covalent Inference for llama.cpp

A research framework for implementing and evaluating poisoning attacks on Retrieval-Augmented Generation (RAG) systems, enabling the study of their security vulnerabilities.

A lightweight Python library for reproducible computational experiments with an ultra-simple, smart API. From idea to insight in under 5 minutes, with zero configuration.

SentinelGuard is a modular anti-cheat research framework focused on detecting integrity violations, memory tampering, and abnormal behavior in FPS-style games. The project emphasizes defensive detection concepts and learning, inspired by modern kernel-assisted anti-cheat architectures.

Truth-first ontological and epistemological framework. Original articles preserved without modification. Focused on reality-aligned AI, knowledge, and responsibility.

🌐 Detect and prevent safety overrides in LLM systems with this DSPy-based framework, ensuring actions align with safety constraints.

AURORA is a lightweight research-oriented AI engineering framework for multi-task NLP training, evaluation, and FastAPI deployment.

Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.

The DaDar Model: A multi-layer cognitive framework for analytical thinking, pattern recognition, and first principle reasoning.

Modular PyTorch lab for running configurable deep-learning experiments, with ready-to-use data loaders, training pipelines, and metric tracking for both vision and NLP benchmarks.

xt-image alignment, failure mode detection, and automated intervention strategies.

ShadowLight Network is a modular, AI‑assisted research framework built for cybersecurity professionals to explore threats, systems, and assumptions through structured, non‑directive analysis across complex environments.

Mathematical and computational framework for modeling protein free-energy landscapes and thermodynamic state transitions.

AI-Debate is a LangGraph-powered framework designed to orchestrate structured, hierarchical debates between multiple AI agents using OpenAI and Anthropic models. The system guides these agents through iterative presentation and consensus phases to reach unified agreements, providing comprehensive JSON exports for research and behavioral analysis.

Unified experimental framework for computational exploration of the Clay Millennium Problems with reproducible pipelines and modular research infrastructure.

HCIP is a formal cognitive architecture for human–machine reasoning, built around the idea that meaning becomes richer, more stable, and more structurally coherent when interactions unfold across time with shared context.

Universal thermodynamic framework for predicting viability and collapse across couples, organizations, consciousness, therapy, leadership, and AI systems