{"id":15633388,"url":"https://github.com/mgechev/mk-tfjs","last_synced_at":"2025-08-20T12:31:00.203Z","repository":{"id":39708254,"uuid":"154387946","full_name":"mgechev/mk-tfjs","owner":"mgechev","description":"Play MK.js with TensorFlow.js","archived":false,"fork":false,"pushed_at":"2023-01-07T02:33:26.000Z","size":21011,"stargazers_count":157,"open_issues_count":10,"forks_count":38,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-12-15T21:34:58.133Z","etag":null,"topics":["cnn","ml","mobilenet","tensorflow-js","transfer-learning"],"latest_commit_sha":null,"homepage":"https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation-mobile-net/","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mgechev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-10-23T19:50:54.000Z","updated_at":"2024-11-23T09:17:42.000Z","dependencies_parsed_at":"2023-02-06T10:46:05.026Z","dependency_job_id":null,"html_url":"https://github.com/mgechev/mk-tfjs","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/mgechev%2Fmk-tfjs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgechev%2Fmk-tfjs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgechev%2Fmk-tfjs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgechev%2Fmk-tfjs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mgechev","download_url":"https://codeload.github.com/mgechev/mk-tfjs/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230423559,"owners_count":18223435,"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":["cnn","ml","mobilenet","tensorflow-js","transfer-learning"],"created_at":"2024-10-03T10:48:52.206Z","updated_at":"2024-12-19T11:11:22.270Z","avatar_url":"https://github.com/mgechev.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Play MK.js with TensorFlow.js\n\nSource code for my article [\"Playing Mortal Kombat with TensorFlow.js. Transfer learning and data augmentation\"](https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation-mobile-net/).\n\nYou can find the post [here](https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation/) and MK.js [here](https://github.com/mgechev/mk.js).\n\n## Usage\n\nTo try the demo run the following commands:\n\n```bash\nnpm i \u0026\u0026 npm i -g serve\nnpm start\ncd model \u0026\u0026 serve -s .\n```\n\nKeep in mind that the model is trained with a small dataset. If it doesn't perform well for you, feel free to follow the instructions from the [blog post](https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation-mobile-net/) and improve its accuracy.\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmgechev%2Fmk-tfjs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmgechev%2Fmk-tfjs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmgechev%2Fmk-tfjs/lists"}