A True Instrumentable Binary Emulation Framework
-
Updated
Jul 2, 2026 - Python
A True Instrumentable Binary Emulation Framework
Cross-architecture LLM internal observation database (23 models, 13 architecture families). Exposed as MCP tools for any AI coding agent.
An activation-based protocol for AI-to-AI knowledge transfer across architectures
A template for science projects. 🧑🔬📊
Thinking and thoughts about software architecture, coding and development.
Posit-Enhanced Docker-based Federated Learning: Bridging Numerical Precision and Cross-Architecture Deployment in IoT Systems
Repository for creating and publishing the build images required for dukeify projects.
Cross Architecture Example Solution
ICSE 2027 Build-Bench Challenge website and participant documentation
Cross-architecture mechanistic interpretability toolkit — first OSS Mamba SSM state extraction. Works on transformer + SSM + hybrid models with unified API.
Benchmark dataset and evaluation harness for comparing governance evidence feasibility across rule-based, hybrid ML, streaming, and agentic AI decision systems.
Cross-architecture IoT malware detection using syscall analysis, LightGBM, and SHAP explainability — trained on ARM/MIPS, tested on x86.
Zero-dataset, pure-math intelligence transplantation across different AI architectures (e.g., $SDXL \to FLUX$).
Add a description, image, and links to the cross-architecture topic page so that developers can more easily learn about it.
To associate your repository with the cross-architecture topic, visit your repo's landing page and select "manage topics."