{"id":23951412,"url":"https://github.com/psteinb/deeplearning-at-iktp2018","last_synced_at":"2025-02-24T09:20:34.039Z","repository":{"id":145285020,"uuid":"146568811","full_name":"psteinb/deeplearning-at-iktp2018","owner":"psteinb","description":"slidedeck for my presentation at the institute for nuclear and particle physics at TU Dresden, October 2018","archived":false,"fork":false,"pushed_at":"2018-10-11T12:05:32.000Z","size":21464,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-01-06T12:59:44.167Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/psteinb.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-08-29T08:23:19.000Z","updated_at":"2018-10-11T12:05:33.000Z","dependencies_parsed_at":"2023-04-21T09:46:52.946Z","dependency_job_id":null,"html_url":"https://github.com/psteinb/deeplearning-at-iktp2018","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/psteinb%2Fdeeplearning-at-iktp2018","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Fdeeplearning-at-iktp2018/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Fdeeplearning-at-iktp2018/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Fdeeplearning-at-iktp2018/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/psteinb","download_url":"https://codeload.github.com/psteinb/deeplearning-at-iktp2018/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240449893,"owners_count":19803125,"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":"2025-01-06T12:59:44.306Z","updated_at":"2025-02-24T09:20:33.973Z","avatar_url":"https://github.com/psteinb.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning\n\nSlides given at the 2018 Institute Seminar of the Institute for Nuclear and Particle Physics at the TU Dresden. To view them, go [here](https://psteinb.github.io/deeplearning-at-iktp2018/).\n\n# How to build the slides\n\nFollow the instructions [here](https://asciidoctor.org/docs/asciidoctor-revealjs/) here or just do:\n\n``` shell\n$ git clone https://github.com/psteinb/deeplearning-at-iktp2018.git\n$ cd deeplearning-at-iktp2018.git\n$ make prepare\n$ make slides\n```\n# How to view the slides\n\nFollow the steps outlined above to build the slidedeck. The open the produced `index.html` in a browser of your choice.\n\n# Acknowledgements\n\n* David Rousseau (CNRS/IN2P3, Université Paris-Saclay) \u0026 TrackML team\n* Noreen Walker \u0026 the Scicomp team (MPI CBG/Scionics)\n* Eric Brachmann (University Heidelberg)\n* Michael Kobel and Joany Manjarrez (IKTP)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsteinb%2Fdeeplearning-at-iktp2018","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpsteinb%2Fdeeplearning-at-iktp2018","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsteinb%2Fdeeplearning-at-iktp2018/lists"}