Show HN: 2D world SIM where each creature runs a text classifier in the browser

Category: ai-ml

Tags: simulation, text-classification, browser, machine-learning, interactive

Score: 5.0/10 (Innovation: 6, Technical: 6, Documentation: 2, Utility: 3)

A browser-based 2D world simulation where creatures run text classifiers (e.g., spam, sentiment) in a data-lab pipeline, with creatures acting as filters, routers, and taggers. The project combines interactive simulation with real ML inference, but the README is extremely sparse and fragmented, making it hard to understand or use.

Target audience: machine learning enthusiasts, researchers, educators

Repository: https://id-le.com/?lab&halloween

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