Carrot is a flexible multi-threaded neural network AI Library for Node.js with neuro-evolution capabilities.
For Documentation, visit https://liquidcarrot.github.io/carrot
- Multi-threaded
- Fully Documented with async-style Docs
- Preconfigured GRU, LSTM, NARX Networks
- Mutable Neurons, Layers, Groups, and Networks
- Neuro-evolution with genetic algorithms
- SVG Network Visualizations using D3.js
$ npm i @liquid-carrot/carrot
Carrot files are hosted by GitHub Pages, just copy this link into the <head>
tag:
<script src="https://liquidcarrot.io/carrot/cdn/0.1.120/carrot.js"></script>
Shaping a network with neuro-evolution
let { Network, methods } = require('@liquid-carrot/carrot');
// this network learns the XOR gate (through neuro-evolution)
async function execute () {
var network = new Network(2,1);
// XOR dataset
var trainingSet = [
{ input: [0,0], output: [0] },
{ input: [0,1], output: [1] },
{ input: [1,0], output: [1] },
{ input: [1,1], output: [0] }
];
await network.evolve(trainingSet, {
mutation: methods.mutation.FFW,
equal: true,
error: 0.05,
elitism: 5,
mutationRate: 0.5
});
network.activate([0,0]); // 0.2413
network.activate([0,1]); // 1.0000
network.activate([1,0]); // 0.7663
network.activate([1,1]); // -0.008
}
execute();
Building neural networks
let Network = require('@liquid-carrot/carrot').Network
let network = new Network([2, 2, 1]) // Builds a neural network with 5 neurons: 2 + 2 + 1
Building custom network architectures
let architect = require('@liquid-carrot/carrot').architect
let Layer = require('@liquid-carrot/carrot').Layer
let input = new Layer.Dense(1);
let hidden1 = new Layer.LSTM(5);
let hidden2 = new Layer.GRU(1);
let output = new Layer.Dense(1);
// connect however you want
input.connect(hidden1);
hidden1.connect(hidden2);
hidden2.connect(output);
let network = architect.Construct([input, hidden1, hidden2, output]);
Building neurons
let Node = require('@liquid-carrot/carrot').Node
let A = new Node() // neuron
let B = new Node() // neuron
A.connect(B)
A.activate(0.5)
console.log(B.activate())
Data Sets
* [ ] [MNIST](https://www.npmjs.com/package/mnist)Your contributions are always welcome! Please have a look at the contribution guidelines first. 🎉
To build a community welcome to all, Carrot follows the Contributor Covenant Code of Conduct.
And finally, a big thank you to all of you for supporting! 🤗
Planned Features
* [ ] Performance Enhancements * [ ] GPU Acceleration * [ ] Tests * [ ] Benchmarks * [ ] Matrix Multiplications * [ ] Tests * [ ] Benchmarks * [ ] Clustering | Multi-Threading * [ ] Tests * [ ] Benchmarks * [ ] Syntax Support * [ ] Callbacks * [ ] Promises * [ ] Streaming * [ ] Async/Await * [ ] Math Support * [ ] Big Numbers * [ ] Small NumbersThis project exists thanks to all the people who contribute. We can't do it without you! 🙇
A special thanks to Neataptic, Synaptic, and Brain.js!
Carrotâ„¢ was largely brought about by inspiration from these great libraries.