Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/aianytime/musicai
musicai
https://github.com/aianytime/musicai
Last synced: about 8 hours ago
JSON representation
musicai
- Host: GitHub
- URL: https://github.com/aianytime/musicai
- Owner: AIAnytime
- License: mit
- Created: 2024-02-03T17:39:29.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-04-20T08:13:45.000Z (7 months ago)
- Last Synced: 2024-04-21T10:05:32.343Z (7 months ago)
- Language: HTML
- Size: 38.1 KB
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Custom Music Generation with Transformers and PyTorch
Welcome to the custom music generation project using Transformers and PyTorch! This project provides an alternative approach to music generation, leveraging the power of state-of-the-art pre-trained Transformers models and PyTorch for natural language processing tasks. This project is based on an existing music generation project developed by [AI Anytime]. I have modified and extended the project to enhance its functionality and performance, making it more accessible and adaptable for various music generation tasks.
# Getting Started
To use this music generation solution, follow these steps:
1. Clone the Repository: Clone this repository to your local machine using git clone.
2. Install Dependencies: Install the required Python dependencies listed in the requirements.txt file using pip install -r requirements.txt.
3. Run the app.py: Explore the provided app script (app.py) to generate music sequences using the pre-trained models. Adjust the parameters and seed inputs as needed to generate custom music outputs.
# Conclusion
While OpenAI's API offers a convenient solution for text and music generation tasks, my custom music generation solution using Transformers and PyTorch provides a cost-effective, flexible, and transparent alternative. By eliminating subscription fees and offering greater control and privacy, my solution empowers users to create music tailored to their specific needs and preferences.