{"data":{"slug":"b7leung-mle-flashcards","name":"MLE-Flashcards","tagline":"Over 250 detailed flashcards covering machine learning, computer vision and related areas for review or interview preparation","github_url":"https://github.com/b7leung/MLE-Flashcards","owner":"b7leung","repo":"MLE-Flashcards","owner_avatar_url":"https://avatars.githubusercontent.com/u/20059131?v=4","primary_language":null,"stars":2432,"forks":218,"topics":["ai","artificial-intelligence","computer-science","computer-vision","flashcards","interview","interview-preparation","machine-learning","review"],"archived":false,"github_pushed_at":"2026-04-30T05:33:31+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/b7leung-mle-flashcards","markdown_url":"https://www.graphcanon.com/tools/b7leung-mle-flashcards.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/b7leung-mle-flashcards","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=b7leung-mle-flashcards","description":"200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.","homepage_url":null,"license":"GPL-3.0","open_issues":4,"watchers":38,"ai_summary":"A collection of over 250 flashcards created by an experienced ML researcher to aid in the review of advanced topics in artificial intelligence including machine learning, deep learning, reinforcement learning, generative models, and more. The resource is not definitive but serves as a handy reference for those with prior knowledge in these fields.","readme_excerpt":"# Machine Learning Flashcards\n\n250+ flashcards I made as an exercise & reference for myself, after from years of ML research, coursework, & independent study. Hopefully other people can benefit from them as well, for study or interview prep!\n\nTopics covered includes: **computer science, classical ML, modern deep learning, 2D/3D computer vision, NLP, reinforcement learning, generative models**.\n\n\n\n\n\n\n# Intended Scope and Audience\n\nThese flashcards generally assume a good foundation in these topics, and a lot of technical terminology is used. Potential approaches may differ depending on your current experience:\n\n* Already have a __good foundation in ML__: you can probably use them __as-is to review__ and fill in any missing knowledge gaps\n\n* __Newer to ML__, this may provide a good overview of what is out there, and I'd suggest also __refering to other materials focused on education__ & learning (see \"additional links\" below)\n\nNote that some topics are covered more comprehensively/accurately than others -- and because the field is constantly changing, this is not meant to be a definitive resource. There may be errors in these slides, or things that I've missed. If so, feel free let me know!\n\n# Changelog\n\n* **May 2025** -- Updated with topics in RL, NeRFs, gaussian splatting, generative models, LLMs, and VLMs. Switched to powerpoint due to better equation editing.\n* **July 2022** -- Initial set of flashcards.\n\n# Additional Links & Resources\n\n  * http://cs231n.stanford.edu/\n  * https://genai-handbook.github.io/\n  * https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ\n  * https://fullstackdeeplearning.com/spring2021/\n  * https://huyenchip.com/ml-interviews-book/","github_created_at":"2022-07-23T05:05:08+00:00","created_at":"2026-07-11T12:23:40.768523+00:00","updated_at":"2026-07-31T06:00:40.441265+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"computer-vision","name":"computer-vision"},{"slug":"interview-preparation","name":"interview-preparation"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"review","name":"review"}],"trust":{"provenance":{"is_fork":false,"github_id":516962930,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-31T06:00:39.744Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":92,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:23:50.528Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-31T06:00:40.186Z"},"license_spdx":{"value":"GPL-3.0","source":"github.license","observed_at":"2026-07-31T06:00:40.186Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Use when you are seeking to deepen your understanding of advanced AI topics such as deep learning and reinforcement learning for exam or interview preparation.","Ideal if your background includes a solid foundation in machine learning since the flashcards expect familiarity with technical terms and concepts."],"when_not_to_use":["Avoid if you are new to machine learning because the content may be too dense without foundational knowledge, necessitating supplementary educational materials.","Do not use MLE-Flashcards as a primary or definitive resource for learning new topics due to potential omissions and evolving field updates."],"source":"enrich:decision_facts","observed_at":"2026-07-17T13:03:15.388Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Curated flashcards for advanced review in AI topics by an experienced ML researcher."}]}}