ML libraries in JavaScript

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

• Machine learning tools JavaScript by mljs
• Machine Learning by junku901
• Convnetjs by karpathy
• Synaptic by cazala
• Mind by stevenmiller888

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

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Machine learning tools JavaScript by mljs

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!

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Machine Learning by junku901

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!

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Convnetjs by karpathy

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.

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Synaptic by cazala

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!

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Mind by stevenmiller888

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!

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

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