This repository is a curated list of resources, projects, and frameworks for AI-driven music generation, targeting enthusiasts, researchers, and developers. It aims to provide a comprehensive hub for the intersection of artificial intelligence and music creation, showcasing advancements from algorithmic composition to real-time generation.

How It Works

The list compiles a wide array of AI music generation approaches, including deep learning models like Transformers (MusicLM, Museformer), Diffusion Models (Audiocraft, Riffusion, Noise2Music), and Generative Adversarial Networks (MuseGAN). It covers both symbolic music generation (MIDI, scores) and direct audio synthesis, highlighting projects that offer controllability via text prompts, melodies, or other conditioning factors.

Quick Start & Requirements

This is a curated list, not a runnable project. Specific project requirements vary; many projects listed utilize Python and deep learning frameworks like TensorFlow or PyTorch. Links to individual project repositories, demos, and documentation are provided within the list.

Highlighted Details

• Features prominent projects like Magenta (Google), Audiocraft (Meta), and MusicLM, with star counts indicating community traction.
• Includes a broad range of resources: GitHub projects, research papers, articles, online courses, books, videos, tools, conferences, and presentations.
• Covers diverse AI techniques: diffusion models, transformers, GANs, LSTMs, and variational autoencoders.
• Highlights controllable generation methods, including text-to-music and melody conditioning.

Maintenance & Community

The list is maintained by Curated-Awesome-Lists. It appears to be community-driven, with many listed projects having significant GitHub star counts, indicating active development and community interest. Specific community links (Discord, Slack) are not provided for the list itself but may exist for individual projects.

Licensing & Compatibility

The licensing of individual projects varies widely, as indicated by the diverse nature of the resources. Users must consult the license of each specific project for usage rights and compatibility, especially for commercial applications.

Limitations & Caveats

This is a meta-list and does not provide direct functionality. The rapid evolution of AI music generation means some listed resources may become outdated. Users need to evaluate the specific requirements and maturity of each linked project.