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MLE Interview-Prep Flashcard Set Draws 2.4k GitHub Stars

July 8, 2026 at 21:07 EDT

Open Source
Recruiting & HR
Education

A collection of 250-plus flashcards aimed at preparing for Machine Learning Engineer (MLE) interviews, compiled in a GitHub repository, is drawing renewed attention. Assembled by author b7leung over several years of ML research, coursework and self-study, the self-learning resource has gathered 2.4k stars since its release.

Updated May 2025 · MLE Interview Prep

250+ Flashcards for the ML Engineer Interview

An advanced, slide-based review deck assembled over years of ML research and self-study — built for spaced repetition to fill knowledge gaps before interviews. Not a beginner course.

250+

Flashcards

2.4k

GitHub Stars

217

Forks

Domain Decks

Coverage across the ML stack

Split into .pptx files by domain, plus a combined version

Computer Science

General ML

CV / DL Fundamentals

CV / DL Topics

LLM / VLM

Topics span classical ML, modern deep learning, 2D/3D vision, NLP, reinforcement learning and generative models — with 2025 additions on RL, NeRFs, Gaussian splatting, LLMs and VLMs.

From release to major refresh

JULY 2022

First published — 200+ cards

→

MAY 2025

Moved to PowerPoint; new RL, NeRF, LLM & VLM cards

Built by an author who landed multiple ML Engineer offers — and honest about its limits.

Best for

Advanced review & spaced repetition before interviews; assumes fundamentals.

Keep in mind

Not for newcomers; coverage is uneven and not comprehensive — errors possible.

Licensed GPL-3.0

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