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apachecn/ailearning resource

AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2 observed · 2026-08-28

github.com/apachecn/ailearning · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: 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: 3476
  • days_rel: n/a
  • days_push: 659
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

42490 stars · 11514 forks observed · 2026-08-28

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

A Chinese-language open-source learning resource covering data analysis, machine learning, linear algebra, and deep learning, based on notes from 'Machine Learning in Action' plus PyTorch, NLTK, and TensorFlow 2 material. It provides structured docs, example code, datasets, and video links maintained by the ApacheCN community.

Use cases

  • learn machine learning from scratch in Chinese
  • study classic ML algorithms like SVM, KNN, and decision trees with code
  • find worked examples for k-means, Apriori, and FP-growth
  • get started with deep learning using PyTorch and TensorFlow 2
  • prepare for machine learning interviews
  • follow a structured AI learning roadmap

When to choose

  • you prefer Chinese-language ML tutorials with runnable Python examples
  • you want a free structured path through classical ML algorithms and intro deep learning
  • you want accompanying datasets and video lectures

When to avoid

  • you need production-grade ML libraries rather than learning material
  • you only work with modern Python 3, since the core 'Machine Learning in Action' notes target Python 2.7
  • you need up-to-date coverage of the latest LLM techniques

Facets

learning-resource · maturity maintenance

machine-learning deep-learning nlp data-science machine-learning deep-learning data-science tutorials python chinese tutorials scikit-learn pytorch tensorflow machine-learning-in-action study-notes natural-language-processing

3 sources

Member repositories

RepositoryRoleHealth v2
apachecn/ailearningmain23

For agents

markdown · JSON · MCP: product_card(name="apachecn/ailearning")

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