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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.

luban-agi/Awesome-AIGC-Tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

46MIT

View on GitHub

Stars: 4,524
Forks: 301
Watchers: 4,524
Open issues: 10
Contributors: 1

Star history, last 90 days+3 over 6 snapshots

2026-07-24 · 4,5212026-08-06 · 4,524

Star history, last 90 days
Date	Stars
2026-07-24	4521
2026-07-25	4521
2026-07-28	4521
2026-07-30	4521
2026-07-31	4524
2026-08-06	4524

Today

— stars today

This week

+3 stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.07%/day

From the README

# Awesome AIGC Tutorials 

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/luban-agi/awesome-aigc-tutorials) 
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT) 
![](https://img.shields.io/github/last-commit/luban-agi/Awesome-AIGC-Tutorials?color=green)
[![GitHub Repo stars](https://img.shields.io/github/stars/luban-agi/Awesome-AIGC-Tutorials?style=social)](https://github.com/luban-agi/Awesome-AIGC-Tutorials)

English | [中文版](README_zh.md)


Awesome AIGC Tutorials houses a curated collection of tutorials and resources spanning across Large Language Models, AI Painting, and related fields. Discover in-depth insights and knowledge catered for both beginners and advanced AI enthusiasts.

## 🔔 Recent Updates

- [2024-02-18] - 🌈 Added new course: [CSCI-GA.3033-102 Special Topic - Learning with Large Language and Vision Models](https://www.sainingxie.com/llvm-fall23/) in Multimodal.
- [2024-02-14] - 💬 Added new course: [CS11-711 Advanced Natural Language Processing](https://phontron.com/class/anlp2024/) in Large Language Models.
- [2024-02-14] - 💬 Added new seminar: [AI-Systems (LLM Edition) 294-162](https://learning-systems.notion.site/learning-systems/AI-Systems-LLM-Edition-294-162-Fall-2023-661887583bd340fa851e6a8da8e29abb) in AI System.

## 🌱 How to Contribute

We warmly welcome contributions from everyone, whether you've found a typo, a bug, have a suggestion, or want to share a resource related to AIGC. For detailed guidelines on how to contribute, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file.

## 📜 Content
- [👋 Introduction](#-introduction)
- [💬 Large Language Models](#-large-language-models)
  - [💡 Prompt Engineering](#-prompt-engineering)
  - [🔧 LLMs in Practice](#-llms-in-practice)
  - [🔬 Theory of LLMs](#-theory-of-llms)
- [🎨 AI Painting](#-ai-painting)
  - [🧑‍🎨 Art Fundamentals and AI Painting Techniques](#-art-fundamentals-and-ai-painting-techniques)
  - [🌊 Stable Diffusion Principles and Applications](#-stable-diffusion-principles-and-applications)
- [🔊 AI Audio](#-ai-audio)
- [🌈 Multimodal](#-multimodal)
- [🧠 Deep Learning](#-deep-learning)
- [💻 AI System](#-ai-system)
- [🗂 Miscellaneous](#-miscellaneous)
  - [✨ Star History](#-star-history)
  - [🤝 Friendship Links](#-friendship-links)

## 👋 Introduction
- [AI for Everyone - Andrew Ng](https://www.deeplearning.ai/courses/ai-for-everyone/)
  ![](https://img.shields.io/badge/Level-Easy-green)
  ![](https://img.shields.io/badge/Video-blue)
  - "AI for Everyone" is a beginner's guide to understanding AI's practical applications, its limitations, and its societal impact, ideal for business professionals and leaders alike.
- [Practical AI for Teachers and Students - Wharton School](https://www.youtube.com/playlist?list=PLwRdpYzPkkn302_rL5RrXvQE8j0jLP02j)
  ![](https://img.shields.io/badge/Level-Easy-green)
  ![](https://img.shields.io/badge/Video-blue)
  - Wharton Interactive's crash course delves into the mechanics and impacts of LLMs, spotlighting models like OpenAI's ChatGPT4, Microsoft's Bing in Creative Mode, and Google's Bard. 
- [Artificial Intelligence for Beginners - Microsoft](https://microsoft.github.io/AI-For-Beginners/)
  ![](https://img.shields.io/badge/Level-Medium-yellow)
  - This 12-week Microsoft curriculum dives deep into AI methodologies, spanning symbolic AI to neural networks, while highlighting TensorFlow and PyTorch frameworks, yet omits business applications, classic machine learning, and certain cloud-specific topics.
- [Generative AI learning path - Google Cloud](https://www.cloudskillsboost.google/journeys/118)
  ![](https://img.shields.io/badge/Level-Medium-yellow)
  ![](https://img.shields.io/badge/Video-blue)
  - This learning path offers a comprehensive journey from the basics of Large Language Models to deploying generative AI solutions on Google Cloud. 

## 💬 Large Language Models

### 💡 Pro

Excerpt of 26,185 characters

Read on GitHub

Top contributors1 shown

zht1130
Haotian Zhu · Imperial College London · United Kingdom
188

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

46/10046

Maintenance: 5%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 5%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No commits in over a year
No tagged releases
Usable in commercial products with attribution.

Details

Created: 3 years ago
Last push: 2 years ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 172 KB
Owner type: Organization
Owner location: —
Discovered via: topic:stable-diffusion
First indexed: 13 days ago
Last synced: 12 days ago

luban-agi/Awesome-AIGC-Tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

46MIT

View on GitHub

Stars: 4,524
Forks: 301
Watchers: 4,524
Open issues: 10
Contributors: 1

Star history, last 90 days+3 over 6 snapshots

2026-07-24 · 4,5212026-08-06 · 4,524

Star history, last 90 days
Date	Stars
2026-07-24	4521
2026-07-25	4521
2026-07-28	4521
2026-07-30	4521
2026-07-31	4524
2026-08-06	4524

Today

— stars today

This week

+3 stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.07%/day

From the README

# Awesome AIGC Tutorials 

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/luban-agi/awesome-aigc-tutorials) 
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT) 
![](https://img.shields.io/github/last-commit/luban-agi/Awesome-AIGC-Tutorials?color=green)
[![GitHub Repo stars](https://img.shields.io/github/stars/luban-agi/Awesome-AIGC-Tutorials?style=social)](https://github.com/luban-agi/Awesome-AIGC-Tutorials)

English | [中文版](README_zh.md)


Awesome AIGC Tutorials houses a curated collection of tutorials and resources spanning across Large Language Models, AI Painting, and related fields. Discover in-depth insights and knowledge catered for both beginners and advanced AI enthusiasts.

## 🔔 Recent Updates

- [2024-02-18] - 🌈 Added new course: [CSCI-GA.3033-102 Special Topic - Learning with Large Language and Vision Models](https://www.sainingxie.com/llvm-fall23/) in Multimodal.
- [2024-02-14] - 💬 Added new course: [CS11-711 Advanced Natural Language Processing](https://phontron.com/class/anlp2024/) in Large Language Models.
- [2024-02-14] - 💬 Added new seminar: [AI-Systems (LLM Edition) 294-162](https://learning-systems.notion.site/learning-systems/AI-Systems-LLM-Edition-294-162-Fall-2023-661887583bd340fa851e6a8da8e29abb) in AI System.

## 🌱 How to Contribute

We warmly welcome contributions from everyone, whether you've found a typo, a bug, have a suggestion, or want to share a resource related to AIGC. For detailed guidelines on how to contribute, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file.

## 📜 Content
- [👋 Introduction](#-introduction)
- [💬 Large Language Models](#-large-language-models)
  - [💡 Prompt Engineering](#-prompt-engineering)
  - [🔧 LLMs in Practice](#-llms-in-practice)
  - [🔬 Theory of LLMs](#-theory-of-llms)
- [🎨 AI Painting](#-ai-painting)
  - [🧑‍🎨 Art Fundamentals and AI Painting Techniques](#-art-fundamentals-and-ai-painting-techniques)
  - [🌊 Stable Diffusion Principles and Applications](#-stable-diffusion-principles-and-applications)
- [🔊 AI Audio](#-ai-audio)
- [🌈 Multimodal](#-multimodal)
- [🧠 Deep Learning](#-deep-learning)
- [💻 AI System](#-ai-system)
- [🗂 Miscellaneous](#-miscellaneous)
  - [✨ Star History](#-star-history)
  - [🤝 Friendship Links](#-friendship-links)

## 👋 Introduction
- [AI for Everyone - Andrew Ng](https://www.deeplearning.ai/courses/ai-for-everyone/)
  ![](https://img.shields.io/badge/Level-Easy-green)
  ![](https://img.shields.io/badge/Video-blue)
  - "AI for Everyone" is a beginner's guide to understanding AI's practical applications, its limitations, and its societal impact, ideal for business professionals and leaders alike.
- [Practical AI for Teachers and Students - Wharton School](https://www.youtube.com/playlist?list=PLwRdpYzPkkn302_rL5RrXvQE8j0jLP02j)
  ![](https://img.shields.io/badge/Level-Easy-green)
  ![](https://img.shields.io/badge/Video-blue)
  - Wharton Interactive's crash course delves into the mechanics and impacts of LLMs, spotlighting models like OpenAI's ChatGPT4, Microsoft's Bing in Creative Mode, and Google's Bard. 
- [Artificial Intelligence for Beginners - Microsoft](https://microsoft.github.io/AI-For-Beginners/)
  ![](https://img.shields.io/badge/Level-Medium-yellow)
  - This 12-week Microsoft curriculum dives deep into AI methodologies, spanning symbolic AI to neural networks, while highlighting TensorFlow and PyTorch frameworks, yet omits business applications, classic machine learning, and certain cloud-specific topics.
- [Generative AI learning path - Google Cloud](https://www.cloudskillsboost.google/journeys/118)
  ![](https://img.shields.io/badge/Level-Medium-yellow)
  ![](https://img.shields.io/badge/Video-blue)
  - This learning path offers a comprehensive journey from the basics of Large Language Models to deploying generative AI solutions on Google Cloud. 

## 💬 Large Language Models

### 💡 Pro

Excerpt of 26,185 characters

Read on GitHub

Top contributors1 shown

zht1130
Haotian Zhu · Imperial College London · United Kingdom
188

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

46/10046

Maintenance: 5%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 5%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No commits in over a year
No tagged releases
Usable in commercial products with attribution.

Details

Created: 3 years ago
Last push: 2 years ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 172 KB
Owner type: Organization
Owner location: —
Discovered via: topic:stable-diffusion
First indexed: 13 days ago
Last synced: 12 days ago

Top AI Repos — open-source AI, indexed and scored

luban-agi/Awesome-AIGC-Tutorials

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Quality score

What to know before adopting

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Details

luban-agi/Awesome-AIGC-Tutorials

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Quality score

What to know before adopting

Categories

Details

Top AI Repos — open-source AI, indexed and scored

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Trend

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What to know before adopting

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