Ross ROSS = Recommend OSS · open-source software intelligence for agents

ShanghaiTechAIClub/DLInterview resource

Deep Learning Interview 深度学习面试题目汇总 observed · 2026-08-28

github.com/ShanghaiTechAIClub/DLInterview observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

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: 3082
  • days_rel: n/a
  • days_push: 3044
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1110 stars · 204 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of deep learning and machine learning interview questions covering math, ML, DL, computer vision, algorithms, and programming languages, plus aggregated CS fundamentals notes. It is a study reference rather than runnable software.

Use cases

  • prepare for a deep learning interview
  • review machine learning interview questions
  • study computer vision interview topics
  • practice common algorithm interview problems
  • brush up on CS fundamentals before a tech interview

When to avoid

  • you need up-to-date content on modern LLM topics (last updated 2018)
  • you want an interactive course or runnable code rather than notes
  • you need English-language material (content is primarily Chinese)

Facets

learning-resource · maturity abandoned

documentation deep-learning machine-learning tutorials education cross-platform interview-questions study-notes computer-vision algorithms chinese-language

1 source

Member repositories

RepositoryRoleHealth v2
ShanghaiTechAIClub/DLInterviewmain32

For agents

markdown · JSON · MCP: product_card(name="ShanghaiTechAIClub/DLInterview")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem