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.

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

For OpenClaw, Hermes and more. Find free and low-cost inference (LLM models). Use them directly. Provides both a CLI and MCP server that knows which free-tier LLM APIs exist, which ones you have keys for, and which one fits your task. Returns endpoints so can you call models directly. No proxy, no middleware, no latency tax.

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).

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

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

Kubernetes scanner that discovers LLMs running on vLLM and extracts their deployment and runtime facts.

Discovery registry for AI models, credentials, and pricing across local and cloud providers. Library, CLI, and HTTP API.

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

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