ML libraries in JavaScript

in #machinelearning5 years ago


Photo by Daniele Levis Pelusi on Unsplash - https://unsplash.com/photos/aRf1hjEHlhA

You come from a JavaScript background and don't want to go through all the Python related setup to get going with some machine learning? Check out libraries for JavaScript, there are a few!

📄 Table of contents


“Enjoyment appears at the boundary between boredom and anxiety, when the challenges are just balanced with the person's capacity to act.”
― Mihaly Csikszentmihalyi


Machine learning tools JavaScript by mljs

githubLogo On Github

This library is a compilation of the tools developed in the mljs organization.
It is mainly maintained for use in the browser.

Covered tools:

  • Unsupervised learning
  • Supervised learning
  • Artificial neural networks (ANN)
  • Regression
  • Optimization
  • Math
  • Statistics
  • Data preprocessing
  • Utilities like
    • Bit array operations
    • Hash table
    • Pad array
    • Binary search
    • Number comparison functions for sorting

Actively maintained and a wide variety of features! Well done!


Machine Learning by junku901

githubLogo On Github

Covered features:

  • Logistic Regression
  • MLP (Multi-Layer Perceptron)
  • SVM (Support Vector Machine)
  • KNN (K-nearest neighbors)
  • K-means clustering
  • 3 Optimization Algorithms (Hill-Climbing, Simulated Annealing, Genetic - Algorithm)
  • Decision Tree
  • NMF (non-negative matrix factorization)

It also offers an incredible browser demo here: http://joonku.com/project/machine_learning

Unfortunately it doesn't seem to be maintained :(

However, great job!


Convnetjs by karpathy

githubLogo On Github

Covered features:

  • Common Neural Network modules (fully connected layers, non-linearities)
  • Classification (SVM/Softmax) and Regression (L2) cost functions
  • Ability to specify and train Convolutional Networks that process images
  • An experimental Reinforcement Learning module, based on Deep Q Learning

It also offers an incredible browser demo here: http://cs.stanford.edu/people/karpathy/convnetjs/index.html

Unfortunately it is not maintained :(
But nevertheless a great package for learning and playing around.


Synaptic by cazala

githubLogo On Github

A architecture-free neural network library for node.js and the browser

Covered features:

  • Neurons = synaptic.Neuron
  • Layers = synaptic.Layer
  • Networks = synaptic.Network
  • Trainers = synaptic.Trainer
  • Architects = synaptic.Architect

It also offers an incredible browser demo here:
http://caza.la/synaptic/#/

and a great starting guide:
https://github.com/cazala/synaptic/wiki/Neural-Networks-101

Not only is it currently maintained, but also evolving to a next release.
Great package for getting started with neural networks! Well done!


Mind by stevenmiller888

githubLogo On Github

A flexible neural network library for Node.js and the browser.

Covered features:

  • Vectorized - uses a matrix implementation to process training data
  • Configurable - allows you to customize the network topology
  • Pluggable - download/upload minds that have already learned

It also offers an incredible browser demo here:
http://stevenmiller888.github.io/mindjs.net/

and a great starting guide:
http://stevenmiller888.github.io/mind-how-to-build-a-neural-network/

Another awesome package for neural networks! Well done!


Thanks for reading my article! Feel free to leave any feedback!


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