17 skills found
AmirhosseinHonardoust / The Illusion Of Sudden FailureA systems-thinking essay that explains why failure rarely happens suddenly. It shows how slow drift, accumulating pressure, and weakening buffers push systems toward collapse long before outcomes change, and why prediction-focused analytics miss the most important phase of failure.
AmirhosseinHonardoust / Failure Is A TransitionA systems-thinking essay that reframes failure as a gradual transition rather than a discrete outcome. It explains how pressure accumulation, weakening buffers, and hidden instability precede visible collapse, and why prediction-based models arrive too late to prevent failure in human-centered systems.
AmirhosseinHonardoust / Exit Narrative GeneratorAn explanation-first HR analytics system that reconstructs why employee exit becomes rational. Instead of predicting attrition, it generates human-readable exit narratives by decomposing pressure and retention forces, adding peer context and counterfactual interventions to reveal how stability erodes over time.
AmirhosseinHonardoust / Optimization Is Borrowing Stability From The FutureA systems-thinking essay arguing that most optimization quietly trades away buffers, slack, and resilience to make present metrics look better. It reframes efficiency as borrowing stability from the future, and shows how education, workforce, infrastructure, markets, and hardware all get optimized into fragility.
AmirhosseinHonardoust / Disaster Instability Early Warning EngineAn early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.
AmirhosseinHonardoust / Prediction Fails When Systems MoveAn analytical essay on why prediction-based models fail in reflexive, unstable systems. This article argues that accuracy collapses when models influence behavior, and proposes equilibrium and force-based modeling as a more robust framework for understanding pressure, instability, and transitions in AI-shaped systems.
AmirhosseinHonardoust / Irreversible Degradation Threshold DetectorAn interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.
AmirhosseinHonardoust / Machine Learning Should Warn Not DecideA long-form systems essay arguing that machine learning fails when used as an automated decision-maker in unstable environments. It reframes ML as an early-warning instrument that exposes pressure, instability, and shrinking intervention windows, preserving human judgment instead of replacing it with late, brittle decisions.
dvoina13 / Dynamic SINDyCode for the paper "Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems"
Donghong-Cai / TEHE CodeHierarchical Sparse Estimation of Non-Stationary Channel for Uplink Massive MIMO Systems
leon1706-lol / Aether QuantMulti-asset, self-adapting algorithmic trading system on QuantConnect Lean + PyTorch. Features a Mixture-of-Experts ensemble, market regime detection, 3D topology modeling, liquidity-aware sizing, and controlled retraining. Built to prove that non-stationary models outperform in non-stationary markets.
ldavendanov / NS Time Series ModelingA toolbox for identification of non-stationary and non-linear systems
Hao-Thunder / Low Complexity Channel Estimation For Spatial Non Stationary XL MIMO SystemsLow-Complexity Channel Estimation for Spatial Non-Stationary XL-MIMO Systems: A Model-Based Deep Learning Approach
xiaogaogaoxiao / DEVFNNAn Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. IEEE Transactions on Fuzzy Systems ( Early Access ).
cyberquill / RiyaazA content-based music recommendation system, that suggests playlists made from the locally stored songs, and updates its suggestions based on the user feedback using non-stationary Bayesian reinforcement learning. Created using React and the Electron.js framework.
taowu520136 / Online Dynamic Learning And Robust Control For Nonlinear SystemsWe try to answer the following question "Can online reinforcement learning (RL) methods learn the dynamics of non-stationary and nonlinear systems online, and if so, can it be used in the robust control architecture instead of the inverse nonlinear dynamics term?"
algoplexity / Coherence MeterA novel, hybrid AIT-MDL framework for detecting systemic regime shifts (structural breaks) in complex, non-stationary systems. This repository contains the computational narrative and all code to reproduce the findings of our paper on using predictive error as a direct measure of local rule incoherence.
