Repolode
Submit
Takamatsu-Hikaru

Takamatsu-Hikaru/AI-Research-Guide

A bilingual Chinese-language guide to getting started in AI research, covering university choices, research FAQs, beginner projects, learning paths and paper cards.

View on GitHubWebsite
Stars
214
Forks
10
Open issues
0
Last commit
6 days ago

What is it?

This is a guide for students who have just entered university and want to understand AI and research. It collects answers to common questions about why and how to start research, how to find a direction and contact professors, along with beginner projects, representative papers, courses and tools organized by research area.

The content covers ten AI subfields such as large language models, agents, computer vision, multimodal learning, generative models, reinforcement learning, world models and embodied intelligence, each with a short introduction, development path and terminology. Paper cards link to original papers and related projects, and a terminology and conference lookup is included.

The same material is published in three layouts: a GitHub Pages site with full-text search, a student club wiki version, and a personal homepage version. The repository is written in Markdown and accepts contributions through issues and pull requests.

Key features

  • 01Q&A on starting research, finding a direction and contacting advisors
  • 02Beginner AI project walkthrough to get a first visible result
  • 03Research direction overviews with development timelines and terminology
  • 04Paper cards with original links and related project references
  • 05Terminology and conference/journal lookup
  • 06Available as a searchable website in Chinese and English

Use cases

  • A first-year student deciding whether and how to begin AI research
  • Looking for a curated list of papers and courses for a specific AI subfield
  • Finding a beginner project to build hands-on experience with machine learning
  • Reference for Chinese-speaking students navigating research terminology

Quick start

  1. 1

    Install Node.js 22 or newer

  2. 2

    Install dependencies

    npm ci
  3. 3

    Build the site

    npm run build
  4. 4

    Open the built guide in a browser

Things to know

  • This is a Chinese-language guide, so English readers get only a partial experience.
  • The project has no license specified, so reuse terms are unclear.

In collections

Learning & education tools

Topics

#ai-research#machine-learning#education#getting-started#study-guide#papers#chinese#ai#research

FAQ

What is AI-Research-Guide?
A bilingual Chinese-language guide to getting started in AI research, covering university choices, research FAQs, beginner projects, learning paths and paper cards. This is a guide for students who have just entered university and want to understand AI and research. It collects answers to common questions about why and how to start research, how to find a direction and contact professors, along with beginner projects, representative papers, courses and tools organized by research area.
Is AI-Research-Guide free to use? What license does it have?
AI-Research-Guide has no declared license. Its code is public, but without a license you have no explicit permission to reuse it; ask the author before relying on it.
Is AI-Research-Guide still maintained?
Actively maintained. The last commit to AI-Research-Guide was on Nov 1, 2026.
What can I use AI-Research-Guide for?
A first-year student deciding whether and how to begin AI research Looking for a curated list of papers and courses for a specific AI subfield Finding a beginner project to build hands-on experience with machine learning Reference for Chinese-speaking students navigating research terminology
How do I install AI-Research-Guide?
Install Node.js 22 or newer Install dependencies: npm ci Build the site: npm run build Open the built guide in a browser
Where can I get AI-Research-Guide?
The source code and installation instructions are on GitHub: https://github.com/Takamatsu-Hikaru/AI-Research-Guide

Summary generated by AI from the project's README. GitHub stats refresh daily.

Related projects