Inference on Bayesian Networks

aGrUM bayesian networks in the browser

BayesCausal: declarative Bayesian networks for calibrated incident root cause inference. Model the causal graph between your components once, feed observed evidence from metrics, logs, and alerts, and get a ranked list of probable root causes with calibra

NodeJS package for generating realistic browser-like HTTP headers.

An fast implementation of a generative bayesian network.

NodeJS package for generating realistic browser fingerprints.

Browser fingerprint injection library for Playwright and Puppeteer.

A list of all available Substrate networks and their applicable prefixes

Network definitions for ethers.

Endpoints, networks, etc. Can be reused throughout Injective's projects.

Useful Grid algorithm from Material-UI (https://github.com/mui-org/material-ui)

TypeScript types and helpers for The Graph Networks Registry

Louvain community detection for graphology.

This library provides utilities to generate connectivity maps from circuit JSON data. It's designed to work with the `@tscircuit/soup` library and offers functionality to find connected networks and create connectivity maps.

A dynamic, browser-based visualization library.

It's unified Playable SDK that supports MRAID, Google, Facebook, Vungle, and many more Ad Networks, simplifying playable ad development with a standardized interface for seamless cross-network compatibility.

CAVE probabilistic layer — Bayesian fusion of numeric estimates, noisy-AND conditional confidence, hypothesis helpers.

A Vue.js component for sharing links to social networks

A JavaScript library for real-time terrain mesh generation

type definitions for all protocols and networks under digitalnativeinc