Generate music from midi files using BPE and markov model

Last update: Oct 24, 2022

Related tags

Machine Learning Music-Synth

Overview

MUSIC Synth

This repo is a prototype for music synth AI. It takes in a midi file and returns a midi file.

Samples

Soundcloud

Installation

Clone the repo
Make sure you have python and java installed
Download midi of a song you like. (mp3 to midi won't work)
Put the midi in the "rawmidis" folder (you should see Beethoven's moonlight sonata there)
run master.py
A few new folders will be created automatically.
The newly generated midi will appear in the "generatedMIDIs" folder.
You can use sound fonts to make this midi sound more organic, cut out parts you don't like or simply re run master.py again to get a different result.

Working

I first convert midi to ABC notation and extract the verses I then use Byte Pair encoding to compress the repeated patterns and finally a markov model to generate the sequence.

Owner

Aditya Khadilkar

LOVE AI!

GitHub Repository

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Generate music from midi files using BPE and markov model

Related tags

Overview

MUSIC Synth

This repo is a prototype for music synth AI. It takes in a midi file and returns a midi file.

Samples

Installation

Working

Owner

Aditya Khadilkar

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Generate music from midi files using BPE and markov model

Related tags

Overview

MUSIC Synth

This repo is a prototype for music synth AI. It takes in a midi file and returns a midi file.

Samples

Installation

Working

Owner

Aditya Khadilkar

ETNA is an easy-to-use time series forecasting framework.

Time series forecasting with PyTorch

A python library for easy manipulation and forecasting of time series.

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

This project has Classification and Clustering done Via kNN and K-Means respectfully

Customers Segmentation with RFM Scores and K-means

List of Data Science Cheatsheets to rule the world

Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning

Stacked Generalization (Ensemble Learning)

Price forecasting of SGB and IRFC Bonds and comparing there returns

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.

MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data

Azure MLOps (v2) solution accelerators.

CobraML: Completely Customizable A python ML library designed to give the end user full control

Learning --> Numpy January 2022 - winter'22

LightGBM + Optuna: no brainer

MegFlow - Efficient ML solutions for long-tailed demands.

A concept I came up which ditches the idea of "layers" in a neural network.

A collection of interactive machine-learning experiments: 🏋️models training + 🎨models demo

Implementation of linesearch Optimization Algorithms in Python

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。