transcranial/keras-js

Health v2 · maintenance only

Adoption not part of the score

4963 stars · 491 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A JavaScript library for running trained Keras deep learning models directly in the browser, with GPU acceleration via WebGL 2. It also supports CPU-only execution in Node.js and works with models trained on any Keras backend such as TensorFlow or CNTK.

Use cases

• run keras models in the browser
• client-side neural network inference with webgl
• deploy mnist cnn classifier in a web page
• run resnet50 or inception v3 image classification in javascript
• browser-based lstm sentiment classification
• execute deep learning models without a server

When to choose

• you have legacy Keras 2.1.2 models and need browser inference without migrating
• you want to study how Keras models are serialized and executed in JavaScript

When to avoid

• starting any new project - the project is officially inactive and recommends TensorFlow.js
• you need support for recent Keras versions or modern model architectures
• you need ongoing maintenance, bug fixes, or community support

Facets

library · maturity abandoned

machine-learning deep-learning llm-inference deep-learning machine-learning web-development browser-extensions browser keras webgl gpu inference neural-networks tensorflow deprecated nodejs javascript

Member repositories

For agents

markdown · JSON · MCP: product_card(name="transcranial/keras-js")