{"id":16252956,"url":"https://github.com/digitsensitive/phaser-machine-learning","last_synced_at":"2025-04-08T12:43:09.508Z","repository":{"id":85850543,"uuid":"99554335","full_name":"digitsensitive/phaser-machine-learning","owner":"digitsensitive","description":"Experiments with Phaser and Machine Learning","archived":false,"fork":false,"pushed_at":"2017-08-27T12:58:17.000Z","size":30035,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-14T08:47:10.451Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/digitsensitive.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-08-07T08:19:49.000Z","updated_at":"2018-10-17T04:47:36.000Z","dependencies_parsed_at":"2023-03-06T20:45:45.403Z","dependency_job_id":null,"html_url":"https://github.com/digitsensitive/phaser-machine-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digitsensitive%2Fphaser-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digitsensitive%2Fphaser-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digitsensitive%2Fphaser-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digitsensitive%2Fphaser-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/digitsensitive","download_url":"https://codeload.github.com/digitsensitive/phaser-machine-learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247846132,"owners_count":21005965,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-10T15:15:26.117Z","updated_at":"2025-04-08T12:43:09.482Z","avatar_url":"https://github.com/digitsensitive.png","language":"JavaScript","readme":"# Phaser and Machine Learning\nExperiments with Phaser and Machine Learning.\nAs boilerplate of the experiments I have used this [repository](https://github.com/digitsensitive/phaser-ts-webpack-boilerplate).\n\n![Flappy Bird Remake](/experiments/flappy-bird/assets/github/flappy-bird-screen1-small.png)\n![Atari Remake](/experiments/atari-pong/assets/github/atari-pong-screen1-small.png)\n\n## How to use\nTo start an experiment do the following simple steps in the accordingly folder using your console:\n\n1. `npm install` to install node_modules\n2. `webpack` to build bundle.js\n3. `webpack-dev-server` to start server\n4. `localhost:8080` to start the experiment in your browser.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdigitsensitive%2Fphaser-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdigitsensitive%2Fphaser-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdigitsensitive%2Fphaser-machine-learning/lists"}