Physics-informed neural networks for highly compressible flows 🧠🌊
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Updated
Nov 26, 2023 - Python
Physics-informed neural networks for highly compressible flows 🧠🌊
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Collection of how and why software systems fail
[UAI 2023] Official implementation of Efficient Failure Pattern Identification of Predictive Algorithms
RMC-TotalRisk is a powerful risk analysis software package designed to support dam and levee safety investment decisions.
Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty
Enabling Model-Based Diagnosis and Failure Model Generation with Active Automata Learning
PressureX is an engineering evaluation package for a passive layered structural mitigation concept using shear-thickening fluid behavior to broaden impulsive loads and reduce peak transmitted response in high-vibration aerospace structures. Targets are design-intent until validated.
Architecture for resilient, governed, and regenerative intelligence under uncertainty.
A substrate-independent governance pattern for agents operating in imperfect environments. Repo includes formal layer documentation, design rationale, reference library maintenance protocols, and validation cases demonstrating how the architecture functions across diverse failure modes and at system scale in simulated environments.
Computational implementation for design methods of cellular steel beams
A systems-first implementation of agent control: explicit retrieval decisions, planner–executor separation, and auditable memory as core architectural mechanisms.
Curated failure patterns for code review, architecture decisions, and incident analysis. Claude Code Skill compatible.
A systems-level analysis of static RAG pipelines, isolating ingestion, retrieval, and ranking boundaries to expose structural failure modes before generation.
Explicit control and observability over when an LLM should answer, hedge, or refuse — treating generation as a governed system layer, not a side effect of retrieval.
Open dataset for AI agent evaluation: failure modes, patterns, use cases, glossary, ecosystem tools, protocols, and research. 404 structured entries.
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