Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

Implementation of learning rate finder in TensorFlow

A packages containing all popular Learning Rate Schedulers. Implemented in Keras Tensorflow

pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).

pyLifetimeSpectraGenerator - A simple Python program for the generation of synthetic lifetime spectra consisting of discrete or distributed characteristic lifetimes.

Tyre tread wear prediction using exponential decay. Predicts exact miles until replacement, stopping distance impact, MOT pass/fail. White-label ready.

30-year dental decay predictor using exponential modeling. Shows patients exactly when teeth need attention. Built in 4h 16m. Live demo available.

Motivation tracker for ADHD builders. Uses pharmacokinetic decay curves to predict project abandonment. Because motivation isn't infinite - it's exponential.

Clinical trial patient retention simulator. Predicts dropout risk using behavioral decay modeling. Saves CROs millions in trial delays. Enterprise-ready.

Smart caffeine response calculator with pharmacokinetic modeling. Track your buzz, predict your crash, optimize your intake. Mobile-first PWA.

pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.

Ring-buffer backed exponential decay reservoir

🧪 Model patient retention in clinical trials, identify risks, and simulate interventions to reduce dropouts and save costs.

After reading the WEF report on jobs that can be affected by AI, I decided to simulate this demand with university courses to better allocate students to meet this demand.

A three-dimensional taxonomy for intelligence systems using observable physical dimensions (Sound, Space, Time). Biomimetic framework emerging from production systems.

Sample size calculation to exponentially decaying IGRA+ proportion

DRAS-5: Dynamic Risk Assessment State Machine with Exponential Decay De-escalation and Provable Safety Guarantees