steven2358/awesome-generative-ai

★ 11,986Audience · generalComplexity · 1/5Setup · easy

Mindmap

mindmap
  root((awesome-gen-ai))
    Categories
      Text models
      Image generators
      Audio tools
      Video tools
      Coding tools
    Content
      Product links
      Brief descriptions
      AI milestones
    Use Cases
      Tool discovery
      Field overview
    Audience
      Developers
      Researchers
      Curious readers

mindmap root((awesome-gen-ai)) Categories Text models Image generators Audio tools Video tools Coding tools Content Product links Brief descriptions AI milestones Use Cases Tool discovery Field overview Audience Developers Researchers Curious readers

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Things people build with this

USE CASE 1

Browse the text models section to find AI assistants and language models relevant to a project.

USE CASE 2

Discover image generation tools like DALL-E and Stable Diffusion and compare their features.

USE CASE 3

Find AI coding tools in the coding section to evaluate alternatives to GitHub Copilot.

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository is a curated directory of generative AI projects and tools, organized by category. Generative AI refers to systems that produce original content such as images, text, audio, and video, by learning patterns from large amounts of existing data. The list was assembled to give developers, researchers, and curious readers a single place to discover what exists in this fast-changing field. The directory is divided into sections covering text models, chatbots, coding tools, agents, image generators, video tools, audio tools, and learning resources. Each section links to specific products, APIs, or open-source projects with a brief description. Text tools include well-known options like ChatGPT, Claude, Gemini, Llama, and Mistral, as well as smaller or more specialized models. Image sections cover tools like DALL-E and Stable Diffusion. The coding section points to AI-assisted coding products like GitHub Copilot. The list also includes a milestones section, documenting key moments in the history of generative AI such as the public release of Stable Diffusion, the launch of ChatGPT, and the introduction of GPT-4. A recommended reading section links to articles and essays providing context about what these systems are, what they can do, and what debates surround them. The repository accepts contributions via pull requests and maintains a separate Discoveries list for newer or emerging projects not yet in the main directory. It follows the "awesome list" format, a community-curated convention on GitHub for collecting useful links. This is a reference tool, not a piece of software. There is no code to run or install. Its value is in aggregation: one place to scan what generative AI products exist across text, image, audio, and video categories. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1

I'm looking for an open-source text-to-image tool I can run locally. Which options in the awesome-generative-ai list support self-hosting?

Prompt 2

What AI coding tools are listed in this directory and how do they compare to GitHub Copilot?

Prompt 3

I'm a developer wanting to add audio generation to my app. Which tools in this list have public APIs I can call?

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