{"id":23617023,"url":"https://github.com/biaslab/bmlip-colorized","last_synced_at":"2025-11-06T14:30:42.927Z","repository":{"id":268407972,"uuid":"904239666","full_name":"biaslab/BMLIP-colorized","owner":"biaslab","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-10T11:36:53.000Z","size":887,"stargazers_count":2,"open_issues_count":4,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-13T20:14:31.640Z","etag":null,"topics":["bayesian-inference","pluto-notebooks","tue"],"latest_commit_sha":null,"homepage":"https://biaslab.github.io/BMLIP-colorized/","language":"Julia","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/biaslab.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":"2024-12-16T14:07:23.000Z","updated_at":"2025-02-10T11:19:53.000Z","dependencies_parsed_at":"2024-12-16T15:47:30.515Z","dependency_job_id":"1341d8e9-ddca-4892-bee5-4c0bb51508e2","html_url":"https://github.com/biaslab/BMLIP-colorized","commit_stats":null,"previous_names":["biaslab/bmlip-colorized"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/biaslab%2FBMLIP-colorized","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/biaslab%2FBMLIP-colorized/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/biaslab%2FBMLIP-colorized/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/biaslab%2FBMLIP-colorized/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/biaslab","download_url":"https://codeload.github.com/biaslab/BMLIP-colorized/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239494590,"owners_count":19648154,"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":["bayesian-inference","pluto-notebooks","tue"],"created_at":"2024-12-27T18:16:01.549Z","updated_at":"2025-02-18T15:24:43.577Z","avatar_url":"https://github.com/biaslab.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# BMLIP *2025-2026 edition*\n\n\n\u003e [!IMPORTANT]\n\u003e View the notebooks online: https://biaslab.github.io/BMLIP-colorized/\n\u003e \n\u003e *(experimental)* with interactive sliders: http://145.38.187.167/\n\n\n\n\nThis is the **work-in-pogress** *new* version of the course [Bayesian Machine Learning and Information Processing](https://github.com/bertdv/BMLIP). ✨\n\nThere will be new lecture materials based on [Pluto.jl](https://plutojl.org/) with interactivity and color!\n\n\n# How to preview notebooks\nThis repository has a GitHub Action that automatically generates a static website on every commit. This uses the [Pluto static export system](https://plutojl.org/en/docs/notebooks-online/) to generate static HTML files.\n\nYou can see an index of all exported files at the repository website (link in top-right).\n\n✅ Recent commit? For progress and status of the site generation system, check out the [**Actions** tab](https://github.com/biaslab/BMLIP-colorized/actions).\n\n\n## Notebook from Pull Request\nTo preview a notebook from a Pull Request, open it locally. The quickest way to do so:\n\n### Step 1\nOpen the PR and go to the \"Files\" tab. Find the notebook file that you want to preview.\n\n### Step 2\nClick the (...) button and **Right Click** the *View raw* option. Click **Copy link URL**.\n\n\u003cimg width=\"1403\" alt=\"Scherm­afbeelding 2025-01-14 om 18 02 22\" src=\"https://github.com/user-attachments/assets/6fc1011b-8a8d-4419-b97c-a972b779a950\" /\u003e\n\n### Step 3\nOpen Pluto (`import Pluto; Pluto.run()`). In the main menu, **paste the URL** in the file picker and press **Open**.\n\n\u003cimg width=\"1011\" alt=\"image\" src=\"https://github.com/user-attachments/assets/be98b029-41dc-4a8d-8c03-31730fb9a2bd\" /\u003e\n\n\n# How to run notebooks locally\n\n## Method A: clone the repository\nYou can clone the repository. When you have the notebook files (`.jl`) on your computer, you can run them with Pluto!\n\n### Step 1\nInstall Pluto! Check out https://plutojl.org/#install for instructions.\n\n### Step 2\nRun Pluto! Start Julia and type:\n\n```julia\nimport Pluto\nPluto.run()\n```\n\n### Step 3\nIn the Pluto main menu, type the path to one of the notebooks in the file picker. For example:\n\n\u003cimg width=\"1161\" alt=\"image\" src=\"https://github.com/user-attachments/assets/96579ab5-1732-44a6-9454-8d4a8a486845\" /\u003e\n\n\n## Method B: open a single notebook\nIf you don't want to clone the complete repository, you can also run a single notebook directly from its URL.\n\n### Step 1 \u0026 2\nOpen and run Pluto, see Method A.\n\n### Step 3\nFind a notebook file (`.jl`) in this repostory that you want to run. Copy the URL, e.g.\n\n```\nhttps://github.com/biaslab/BMLIP-colorized/blob/main/lectures/B12%20Intelligent%20Agents%20and%20Active%20Inference.jl\n```\n\n*Tip: You don't need the \"raw URL\", any type of URL will work*\n\n### Step 4\nIn the Pluto's main menu, **paste the URL** in the file picker and press **Open**.\n\n\u003cimg width=\"1011\" alt=\"image\" src=\"https://github.com/user-attachments/assets/be98b029-41dc-4a8d-8c03-31730fb9a2bd\" /\u003e\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbiaslab%2Fbmlip-colorized","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbiaslab%2Fbmlip-colorized","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbiaslab%2Fbmlip-colorized/lists"}