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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 5K GitHub stars and 621 GitHub forks. Here’s a link to ml5.js's open source repository on GitHub

Who uses ml5.js?

ml5.js's Features

  • 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

What are some alternatives to ml5.js?
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.
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.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives

ml5.js's Followers
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