Generative Deep Art
FreeA curated list of generative deep learning tools, works, models, etc. for artistic uses, by [@filipecalegario](https://github.com/filipecalegario/).
FreeFree tier
About Generative Deep Art
A curated collection of references in the dynamic field of Generative AI, including academic papers, technical articles, online courses, tutorials, and software. Organized into categories such as text (LLMs, prompt engineering), image (Stable Diffusion, ControlNet), audio, video, multimodal, ethics, education, and more. References are listed in reverse chronological order with dedicated inbox sections for emerging topics. Maintained as an open-source GitHub repository by Filipe Calegario.
Key Features
Extensive categorization across text, image, audio, video, multimodal, and more
Reverse chronological ordering to track latest developments
Dedicated inbox sections for emerging topics and subcategories
Covers academic papers, technical articles, online courses, tutorials, and software
Includes sections on ethics, critical views, human-AI interaction, and education
Community-maintained with contributions and discussions on GitHub
Pros & Cons
Pros
- Comprehensive and well-organized overview of the generative AI landscape
- Free and open source with active community contributions
- Regularly updated with new references and sections
- Covers both technical and ethical aspects of generative AI
- Serves as a single entry point for multiple subfields
Cons
- Not a tool itself; requires manual exploration of linked resources
- Can be overwhelming due to the large number of references
- Relies on community contributions for completeness and accuracy
- No built-in search or filtering beyond GitHub's interface
Best For
Research and staying up-to-date with generative AI advancesCreative projects involving image, video, audio, and text generationLearning generative AI through curated courses and tutorialsDeveloping applications using listed tools and frameworksFinding job opportunities and community resources in generative AI
FAQ
What does this repository cover?
It covers generative AI projects, tools, artworks, models, academic papers, technical articles, online courses, tutorials, and software across text, image, audio, video, multimodal, and other domains.
How is the repository organized?
References are grouped into sections and subsections (e.g., LLMs, prompt engineering, image synthesis). Each section lists items in reverse chronological order, with inboxes for general references and emerging topics.
Is this list actively maintained?
Yes, the repository is actively maintained by Filipe Calegario and the community, with frequent updates and new additions.
Can I contribute to this list?
Yes, contributions are welcome via pull requests and issues on the GitHub repository, following the contributing guidelines.