{"id":28780608,"url":"https://github.com/nlesc/mcfly-tutorial","last_synced_at":"2025-09-07T01:40:36.423Z","repository":{"id":54415484,"uuid":"83661355","full_name":"NLeSC/mcfly-tutorial","owner":"NLeSC","description":"tutorial for mcfly repository","archived":false,"fork":false,"pushed_at":"2023-07-03T11:48:35.000Z","size":72335,"stargazers_count":79,"open_issues_count":9,"forks_count":41,"subscribers_count":14,"default_branch":"main","last_synced_at":"2025-08-19T03:09:36.682Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NLeSC.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}},"created_at":"2017-03-02T09:43:49.000Z","updated_at":"2025-07-12T00:03:55.000Z","dependencies_parsed_at":"2023-01-30T18:01:16.225Z","dependency_job_id":"af9e116f-801d-4ef9-a9e6-17ab790072af","html_url":"https://github.com/NLeSC/mcfly-tutorial","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NLeSC/mcfly-tutorial","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLeSC%2Fmcfly-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLeSC%2Fmcfly-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLeSC%2Fmcfly-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLeSC%2Fmcfly-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NLeSC","download_url":"https://codeload.github.com/NLeSC/mcfly-tutorial/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLeSC%2Fmcfly-tutorial/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273986609,"owners_count":25202704,"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","status":"online","status_checked_at":"2025-09-06T02:00:13.247Z","response_time":2576,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2025-06-17T18:07:24.688Z","updated_at":"2025-09-07T01:40:36.368Z","avatar_url":"https://github.com/NLeSC.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"left\"\u003e\n  \u003cimg src=\"mcflylogo.png\" width=\"200\"/\u003e\n\u003c/p\u003e\n\n[![CI Build](https://github.com/NLeSC/mcfly-tutorial/workflows/CI%20Build/badge.svg)](https://github.com/NLeSC/mcfly-tutorial/actions)\n\nThis repository contains notebooks that show how to use the [mcfly](https://github.com/NLeSC/mcfly) software. Mcfly is deep learning tool for time series classification.\n\n## Tutorials\nCurrently we offer two tutorials here. \nOur main tutorial can be found in the notebook [notebooks/tutorial/tutorial.ipynb](https://github.com/NLeSC/mcfly-tutorial/blob/master/notebooks/tutorial/tutorial.ipynb). This tutorial will let you train deep learning models with mcfly on the [PAMAP2 dataset for activity recognition](https://archive.ics.uci.edu/ml/datasets/PAMAP2+Physical+Activity+Monitoring).  \n\nA comparable, slightly quicker tutorial can be found in the notebook [notebooks/tutorial/tutorial_quick.ipynb](https://github.com/NLeSC/mcfly-tutorial/blob/master/notebooks/tutorial/tutorial_quick.ipynb). This tutorial will let you train deep learning models with mcfly on the [RacketSports dataset for activity recognition](http://www.timeseriesclassification.com/description.php?Dataset=RacketSports).\n\nPrerequisites:\n- Python 3.7 and above\n- The following python packages have to be installed (also specified in requirements.txt file):\n  - mcfly\n  - jupyter\n  - pandas\n  - matplotlib\n  - scipy\n  - numpy\n\n## Installation\n\n ```shell\npython3 -m venv env\n. env/bin/activate\npip install --upgrade pip setuptools\npip install -r requirements.txt\n```\n\n## Running the notebooks\nThe tutorials can be run using Jupyter notebook. From the tutorial root folder run:\n\n`jupyter notebook`\n\nThere are two versions of the tutorial. The [standard tutorial](https://github.com/NLeSC/mcfly-tutorial/blob/master/notebooks/tutorial/tutorial.ipynb) is for self-learning. There is also a [version for workshops](https://github.com/NLeSC/mcfly-tutorial/blob/master/notebooks/tutorial/workshop.ipynb) which is only expected to be used with the aid of an instructor.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnlesc%2Fmcfly-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnlesc%2Fmcfly-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnlesc%2Fmcfly-tutorial/lists"}