datawhalechina/competition-baseline resource

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4757 stars · 1082 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of baseline solutions and code for data science competitions including Kaggle, iFlytek AI challenges, and Tianchi contests. It covers data mining, computer vision, NLP, and recommendation system competitions with simple, beginner-friendly starter code.

Use cases

• learn kaggle competition basics
• find baseline code for a data competition
• get started with data science competitions
• study nlp competition solutions
• learn computer vision competition approaches
• find starter code for recommendation system contests

When to choose

• you are a beginner wanting simple, readable competition starter code
• you want baseline approaches for Chinese AI competitions like iFlytek or Tianchi
• you prefer concise solutions over complex winning-solution code

When to avoid

• you need state-of-the-art winning solutions for maximum leaderboard scores
• you want production-grade, well-tested ML code
• you need English-language documentation

Facets

learning-resource · maturity active

machine-learning deep-learning nlp computer-vision data-science data-science machine-learning tutorials education python cross-platform kaggle data-competition baseline-solutions jupyter-notebooks chinese recommendation-systems

Member repositories

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markdown · JSON · MCP: product_card(name="datawhalechina/competition-baseline")