{"id":20068373,"url":"https://github.com/medoidai/interpretable-machine-learning-blog-notebooks","last_synced_at":"2025-05-05T19:31:15.305Z","repository":{"id":44873102,"uuid":"503317457","full_name":"medoidai/interpretable-machine-learning-blog-notebooks","owner":"medoidai","description":"Notebook examples from \"A Practical Overview of Interpretable Machine Learning\" blog post.","archived":false,"fork":false,"pushed_at":"2022-07-08T09:02:31.000Z","size":3195,"stargazers_count":5,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"main","last_synced_at":"2024-07-06T14:35:55.440Z","etag":null,"topics":["artificial-intelligence","deep-learning","interpretable-machine-learning","machine-learning","machine-learning-explainability"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/medoidai.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":"2022-06-14T10:46:59.000Z","updated_at":"2022-09-05T11:13:07.000Z","dependencies_parsed_at":"2022-08-29T02:50:24.684Z","dependency_job_id":null,"html_url":"https://github.com/medoidai/interpretable-machine-learning-blog-notebooks","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/medoidai%2Finterpretable-machine-learning-blog-notebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/medoidai%2Finterpretable-machine-learning-blog-notebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/medoidai%2Finterpretable-machine-learning-blog-notebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/medoidai%2Finterpretable-machine-learning-blog-notebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/medoidai","download_url":"https://codeload.github.com/medoidai/interpretable-machine-learning-blog-notebooks/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224461753,"owners_count":17315116,"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":["artificial-intelligence","deep-learning","interpretable-machine-learning","machine-learning","machine-learning-explainability"],"created_at":"2024-11-13T14:06:28.184Z","updated_at":"2024-11-13T14:06:28.878Z","avatar_url":"https://github.com/medoidai.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\" style=\"width: 60%; height: 60%\"\u003e\u003ca href=\"https://www.medoid.ai/\" target=\"_blank\"\u003e\u003cimg src=\"https://www.medoid.ai/wp-content/uploads/2020/05/medoid-ai-logo-2.png\" width=\"300px;\" /\u003e\u003c/a\u003e\u003c/p\u003e\n\n# Blog post: A Practical Overview of Interpretable Machine Learning\n\n## Table of contents\n\n- [Table of contents](#table-of-contents)\n- [What?](#what)\n- [Notebooks](#notebooks)\n- [License](#license)\n\n## What?\n\nThis GitHub repo contains notebook examples from \"[A Practical Overview of Interpretable Machine Learning](https://www.medoid.ai/blog/practical-overview-of-interpretable-machine-learning)\" blog post. In these examples, we will apply cutting-edge interpretability approaches to tackle problems involving various data types. Few of them are the following:\n\n- [Lime](https://github.com/marcotcr/lime)\n- [Anchors](https://github.com/marcotcr/anchor)\n- [Eli5](https://github.com/eli5-org/eli5)\n- [DefragTrees](https://github.com/sato9hara/defragTrees)\n- [LionForests](https://github.com/intelligence-csd-auth-gr/LionLearn)\n- [LioNets](https://github.com/intelligence-csd-auth-gr/LionLearn)\n- [Transformers Interpret](https://github.com/cdpierse/transformers-interpret)\n- [BertViz](https://github.com/jessevig/bertviz)\n- [Innvestigate](https://github.com/albermax/innvestigate)\n\n## Notebooks\n\nDescription | Related Data | Link\n--- | --- | ---\nExample 1 | Tabular | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/medoidai/interpretable-machine-learning-blog-notebooks/blob/main/notebooks/example_1.ipynb)\nExample 2 | Textual | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/medoidai/interpretable-machine-learning-blog-notebooks/blob/main/notebooks/example_2.ipynb)\nExample 3 | Images | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/medoidai/interpretable-machine-learning-blog-notebooks/blob/main/notebooks/example_3.ipynb)\nExample 4 | Time Series | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/medoidai/interpretable-machine-learning-blog-notebooks/blob/main/notebooks/example_4.ipynb)\n\n## License\n\nSee our [LICENSE](LICENSE) for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmedoidai%2Finterpretable-machine-learning-blog-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmedoidai%2Finterpretable-machine-learning-blog-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmedoidai%2Finterpretable-machine-learning-blog-notebooks/lists"}