HEMANGANI/Music-Generation-Using-WGAN-GP-and-Self-Attention-Mechanism
Developed a music generation deep learning model using WGAN-GP and self-attention, aimed at creating melodic compositions.
This project helps music producers, composers, and sound designers explore new melodic ideas. You provide a random input, and it generates unique musical compositions in the style of piano music. It's designed for creative individuals looking for AI-assisted inspiration in their musical projects.
No commits in the last 6 months.
Use this if you are a musician or composer seeking to generate novel instrumental melodies for your creative works or to overcome creative blocks.
Not ideal if you need to generate music with specific instrumentation beyond piano, or if you require precise control over genre and emotional tone.
Stars
7
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/HEMANGANI/Music-Generation-Using-WGAN-GP-and-Self-Attention-Mechanism"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asigalov61/tegridy-tools
Symbolic Music NLP Artificial Intelligence Toolkit
declare-lab/TangoFlux
[ICLR 2026] TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching
kyegomez/MORPHEUS-1
Implementation of "MORPHEUS-1" from Prophetic AI and "The world’s first multi-modal generative...
affige/genmusic_demo_list
a list of demo websites for automatic music generation research
jaschadub/harmonydagger
Make Music Unlearnable for Generative AI.