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ml5.js vs TensorFlow.js: What are the differences?
ml5.js: Friendly machine learning for the web. ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies; TensorFlow.js: Machine Learning in JavaScript. Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.
ml5.js and TensorFlow.js belong to "Machine Learning Tools" category of the tech stack.
ml5.js and TensorFlow.js are both open source tools. TensorFlow.js with 11.1K GitHub stars and 801 forks on GitHub appears to be more popular than ml5.js with 2.63K GitHub stars and 209 GitHub forks.
Pros of ml5.js
Pros of TensorFlow.js
- Open Source5
- NodeJS Powered5
- Deploy python ML model directly into javascript2
- Privacy - no data sent to server1
- Can run TFJS on backend, frontend, react native, + IOT1
- Runs Client Side on device1
- Easy to share and use - get more eyes on your research1
- Cost - no server needed for inference1