datawhalechina/daily-interview resource
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 91
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2688
- days_rel: n/a
- days_push: 56
- n_releases_24m: 0
Adoption not part of the score
3802 stars · 494 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated collection of technical interview questions and answers maintained by the Datawhale community, covering machine learning, computer vision, NLP, recommendation systems, and software development. It is organized into modules (algorithms, programming languages, CS fundamentals, AI, system design) with role-based study paths for quick pre-interview review.
Use cases
- prepare for a machine learning engineer interview
- review common NLP and CV interview questions
- brush up on data structures and algorithms before an interview
- study system design questions for backend roles
- find a quick pre-interview refresher on CS fundamentals
- prepare answers for behavioral and project experience questions
When to choose
- you want a concise, community-curated set of high-frequency interview topics rather than exhaustive material
- you are interviewing for AI/algorithm or software development roles in the Chinese tech ecosystem
- you need a fast half-day review right before an interview
When to avoid
- you need a comprehensive textbook-style deep dive into any single topic
- you require content in languages other than Chinese
- you need interactive practice, mock interviews, or auto-graded exercises
Facets
learning-resource · maturity active
documentation developer-tools tutorials education machine-learning computer-vision developer-tools cross-platform interview-preparation interview-questions cheatsheet datawhale job-hunting algorithms system-design chinese natural-language-processing web-server
2 sources
- readme: https://github.com/datawhalechina/daily-interview · fetched 2026-08-28 · bc4d419014dd
- homepage: https://datawhalechina.github.io/daily-interview/ · fetched 2026-08-29 · 36ce5573153e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| datawhalechina/daily-interview | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="datawhalechina/daily-interview")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem