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 6.3K GitHub stars and 905 GitHub forks. Here’s a link to ml5.js's open source repository on GitHub
Who uses ml5.js?
Developers
5 developers on StackShare have stated that they use ml5.js.
Decisions about ml5.js
Here are some stack decisions, common use cases and reviews by companies and developers who chose ml5.js in their tech stack.
Kayla Weng
Hey everyone!
I am starting to do a project where I will be importing datasets from Teachable Machine from Google to make an interface for people to learn sign language with their cameras.
I heard that these two languages are both very similar (I could be wrong), I am wondering which tool is better for my purpose and if there is any guidance on where I can start besides the ml5.js website?
Thanks!
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
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
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.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
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.
