{"id":17202680,"url":"https://github.com/deepcharles/hack-and-collab-fgss-2021","last_synced_at":"2025-03-25T09:20:17.903Z","repository":{"id":53746989,"uuid":"348318888","full_name":"deepcharles/hack-and-collab-fgss-2021","owner":"deepcharles","description":null,"archived":false,"fork":false,"pushed_at":"2021-06-22T13:35:29.000Z","size":2656,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-30T08:31:02.998Z","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":"bsd-2-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/deepcharles.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}},"created_at":"2021-03-16T11:18:54.000Z","updated_at":"2024-07-07T22:23:34.000Z","dependencies_parsed_at":"2022-09-12T23:23:15.118Z","dependency_job_id":null,"html_url":"https://github.com/deepcharles/hack-and-collab-fgss-2021","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/deepcharles%2Fhack-and-collab-fgss-2021","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepcharles%2Fhack-and-collab-fgss-2021/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepcharles%2Fhack-and-collab-fgss-2021/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepcharles%2Fhack-and-collab-fgss-2021/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/deepcharles","download_url":"https://codeload.github.com/deepcharles/hack-and-collab-fgss-2021/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245431683,"owners_count":20614184,"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":"2024-10-15T02:15:27.324Z","updated_at":"2025-03-25T09:20:17.856Z","avatar_url":"https://github.com/deepcharles.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Step detection workshop\n\nA tutorial on the step detection task, using convolutional sparse coding.\n\nThe tutorial is in the notebook `step-detection-workshop.ipynb`.\n\nTo run the notebook, you will need to install the following packages:\n\n- pandas\n- scikit-learn\n- matplotlib\n- loadmydata\n- seaborn\n\nThey are available through `pip` or `conda`.\n\n\nDownloading the data can take a few minutes.\nIn order to download them beforehand, please run the following commands in a Python terminal:\n\n```python\nfrom loadmydata.load_human_locomotion import load_human_locomotion_dataset\n_ = load_human_locomotion_dataset(\"1-1\")\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepcharles%2Fhack-and-collab-fgss-2021","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepcharles%2Fhack-and-collab-fgss-2021","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepcharles%2Fhack-and-collab-fgss-2021/lists"}