What is ml5.js?
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.
ml5.js is a tool in the Machine Learning Tools category of a tech stack.
ml5.js is an open source tool with 3.3K GitHub stars and 282 GitHub forks. Here’s a link to ml5.js's open source repository on GitHub
Why developers like ml5.js?
Here’s a list of reasons why companies and developers use ml5.js
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- Pre-trained models for detecting human poses, generating text, styling an image with another, composing music, pitch detection, and common English language word relationships
- API for training new models based on pre-trained ones as well as training from custom user data from scratch
ml5.js Alternatives & Comparisons
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TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.