# tangyudi/Ai-Learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Repository: https://github.com/tangyudi/Ai-Learn
Canonical: https://ross.abutalabs.com/products/ai-learn
License Family: other
Topics: machine-learning, deep-learning, data-analysis, data-mining, mathematics, data-science, artificial-intelligence, python, tensorflow, tensorflow2, caffe, keras, pytorch, algorithm, numpy, pandas, matplotlib, seaborn, nlp, cv
Last push: 2024-06-02T04:46:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2410, "days_push": 822, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 13286, forks 2674 (observed 2026-08-28T04:11:03.059094+00:00)

## What it is
A curated AI learning roadmap by Tang Yudi collecting nearly 200 hands-on cases and projects covering Python, math, machine learning, data analysis, deep learning, computer vision, and NLP. It includes a free companion textbook PDF and organized resources for beginners aiming at AI employment.

## Use cases
- learn machine learning from zero
- find practical AI projects to practice
- get a roadmap for becoming a data scientist
- learn deep learning with PyTorch and TensorFlow
- study computer vision and NLP with real datasets
- download a free machine learning textbook
- prepare for AI job interviews

## When to choose
- you are a beginner wanting a structured, step-by-step AI learning path
- you want hands-on projects with real datasets rather than theory alone
- you prefer Chinese-language learning materials with a free textbook

## When to avoid
- you need production-ready code or maintained software libraries
- you want English-language materials
- you need up-to-date course links, since many cloud-drive resources have broken

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, data-science, nlp, computer-vision
- domain: artificial-intelligence, machine-learning, deep-learning, data-science, computer-vision, tutorials
- platform: python, cross-platform
- tags: learning-roadmap, practical-projects, pytorch, tensorflow, keras, data-analysis, data-mining, chinese, free-textbook, natural-language-processing

## Member repositories
- tangyudi/Ai-Learn (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:03.059094+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:23.018587+00:00, confidence not recorded.
  - readme: https://github.com/tangyudi/Ai-Learn (fetched 2026-08-28T04:11:03.059094+00:00, sha f1afe6c1c842)
- Data as of 2026-08-30T08:39:29.467469+00:00.