# janhuenermann/neurojs

A JavaScript deep learning and reinforcement learning library.

Repository: https://github.com/janhuenermann/neurojs
Canonical: https://ross.abutalabs.com/products/neurojs
Homepage: http://janhuenermann.com/projects/learning-to-drive
Language: JavaScript
License: MIT
License Family: permissive
Topics: deep-learning, self-driving-car, reinforcement-learning, javascript, neural-network, machine-learning
Last push: 2023-10-10T12:55:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3636, "days_push": 1058, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4371, forks 363 (observed 2026-08-28T04:08:46.788085+00:00)

## What it is
neurojs is a JavaScript deep learning framework for the browser with a focus on reinforcement learning, supporting deep Q-networks and actor-critic models with replay buffers. It includes demos such as a 2D self-driving car, but the project is explicitly no longer maintained.

## Use cases
- train neural networks in the browser with javascript
- run reinforcement learning experiments like deep q-learning
- build a self-driving car simulation demo
- learn how actor-critic and DDPG algorithms work
- visualize neural network training in the browser

## When to choose
- you need a small, readable codebase to study reinforcement learning internals
- you want browser-only neural network demos without server dependencies
- you're following the self-driving car tutorial

## When to avoid
- you need a maintained production deep learning library - use TensorFlow.js instead
- you need GPU acceleration or large-scale training
- you need LSTM or modern architectures, which were never implemented

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, reinforcement-learning
- domain: deep-learning, machine-learning, reinforcement-learning, browser-extensions
- platform: browser
- tags: neural-networks, deep-q-networks, actor-critic, self-driving-car, browser-based-ml, unmaintained, javascript, nodejs

## Member repositories
- janhuenermann/neurojs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:46.788085+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:22.325355+00:00, confidence not recorded.
  - readme: https://github.com/janhuenermann/neurojs (fetched 2026-08-28T04:08:46.788085+00:00, sha f714aae36c9e)
  - homepage: http://janhuenermann.com/projects/learning-to-drive (fetched 2026-08-29T09:09:57.417649+00:00, sha 81380ede0477)
- Data as of 2026-08-30T08:39:29.467469+00:00.