A package for the sparse identification of nonlinear dynamical systems from data

Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.

The official respository for noise-aware physics-informed machine learning (nPIML)

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

This repository stores my personal projects related to data science studies.

Model discovery based on Bayesian Evidence (a.k.a. marginal likelihood) and nonlinear Orthogonal Distance Regression.

An auto-updating AI Model Catalog available as a Golang Package, CLI Tool, or Server (RESTful, WebSockets, SSE).

A fairly comprehensive Python library allowing for exploration, self-education and categorizaton of AI models

Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Automatically discover, filter, and test free AI models available on OpenRouter. This Node.js tool fetches the full model catalog, detects truly free models, runs real API tests, and generates a clean list of working free LLMs

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)