Symbolic music generation taking inspiration from NLP and human composition process
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Updated
Jun 28, 2023 - Python
Symbolic music generation taking inspiration from NLP and human composition process
MarkMelGen is a Markov Melody Generation program that takes configuration, lyric, and example music files and creates a tune for the supplied words.
Pop-K is a small RWKV model that generates pop melodies in C major and A minor.
CCMT-CPBP is a neuro-symbolic artificial intelligence system (combining machine learning and constraint programming) that generates musical melodies based on given chords while providing more control over these melodies than the base transformer.
Rest API to interact with magenta RNN composer from ai-duet website
A musical pattern generator and visualizer
Very efficient and cute GPT2-based Karaoke Melody Music AI creator and generator :) Konnichiwa !!! :)
Creates harmonically coherent random melodies using a repeating motif and rhythmic patterns defined by key, chord progression, BPM, and time signature. It supports both GUI and CLI interfaces for easy configuration and MIDI export.
🎶 Transform text into beautiful melodies in real-time with MelodyCraftWS! 🚀
Create inspiration! Create notes. Billions of them!
Random Music Generator written in Python
Start your Music AI journey with a simple 2-3 layer Bi-Directional LSTMs. See what YOU can do and how it compares to big guys! :)
🎼 Hackathon project for 2020-2021 Creative Programming and Computing Course @ Polimi MAE
how I achieved random sargam generation
Harmon AI: Deep Learning based Melody Generator build using RNN & LSTM
Play melody from music notes with STM32 microcontroller
This is My Melody Generator project. It is trained on German Melody dataset.
A Recurrent Neural Network architecture for generating Melodies
Melody Maker is a fun, interactive web application that allows you to create melodies right in your browser. With an intuitive grid interface and simple controls, you can compose tunes quickly and easily.
A melody generator made using LSTM from a dataset of olden compositions.
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