https://github.com/digitsensitive/phaser-machine-learning

Experiments with Phaser and Machine Learning
https://github.com/digitsensitive/phaser-machine-learning

Last synced: 8 months ago
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Experiments with Phaser and Machine Learning

• Host: GitHub
• URL: https://github.com/digitsensitive/phaser-machine-learning
• Owner: digitsensitive
• License: mit
• Created: 2017-08-07T08:19:49.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-08-27T12:58:17.000Z (over 8 years ago)
• Last Synced: 2025-02-14T08:47:10.451Z (10 months ago)
• Language: JavaScript
• Size: 28.6 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Phaser and Machine Learning

Experiments with Phaser and Machine Learning.

As boilerplate of the experiments I have used this [repository](https://github.com/digitsensitive/phaser-ts-webpack-boilerplate).

![Flappy Bird Remake](/experiments/flappy-bird/assets/github/flappy-bird-screen1-small.png)

![Atari Remake](/experiments/atari-pong/assets/github/atari-pong-screen1-small.png)

## How to use

To start an experiment do the following simple steps in the accordingly folder using your console:

1. `npm install` to install node_modules

2. `webpack` to build bundle.js

3. `webpack-dev-server` to start server

4. `localhost:8080` to start the experiment in your browser.