Daily Interview is a collection of interview questions and topics spanning ML, CV, NLP, and development, maintained by Datawhale members. It has thousands of stars, a GPL-3.0 license, and active maintenance as of 2026-07-08.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
Datawhalechina/daily-interview is a repository that aggregates interview questions and topics related to machine learning, computer vision, natural language processing, recommendation, and development. The README describes it as a curated set of high-frequency interview points intended for quick pre-interview review and practical thinking rather than model answers.
How it works
The project organizes content into modules such as Algorithm Basics, Programming Languages, Computer Fundamentals, AI Algorithms, System Design, Development Technologies, Project Experience, and Behavioral Interview. It provides guidance for targeted revision by role (e.g., Algorithm roles, Development roles) and includes a Star History visualization to show popularity over time.
Getting started
The README provides a quick-start path via an online reading link and role-based revision sections. It also includes usage tips like marking重点, practicing problems, conducting mock interviews, and maintaining personal notes. Specific commands are not provided in the excerpt, but the online reading URL is listed: https://datawhalechina.github.io/daily-interview/ and the repository README mentions a quick-start anchor labeled 使用指南.
Recent releases
The latest releases section lists none for latest 0, indicating no tagged releases in the latest release line within the provided data. The repo was created on 2019-04-24 and has last_push dated 2026-07-08.
Traction
The repository has 3777 stars and 495 forks. There are 0 open issues. License is GPL-3.0. The project is categorized with topics: cv, interview-questions, llm, nlp.
Caveats
License: GPL-3.0. Age: created 2019-04-24. Open issues: 0. Last push: 2026-07-08.