Popular GitHub Repositories for Piano Roll

[CoRL '23] Dexterous piano playing with deep reinforcement learning.

"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020

Train an LSTM to generate piano or violin/piano music.

带有 WebUI 的 NovelAI 量产工具, 实现了批量文生图; 批量图生图; 视频转绘; 分块重绘; 批量 Vibe; 批量局部重绘; 批量超分降噪; 批量自动打码; 批量添加水印; 批量上传 Pixiv; 图片筛选; 批量抹除, 还原或导出生成信息; 法术解析; 多模型反推提示词; ChatGPT; 动态加载插件; 自动 roll 画风串; 批量 Enhance; tag选择器; 涂鸦重绘; 图片压缩整理; 批量AI工具; wildcard; ...

(Experimental, a lot of bugs) Automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.

SOTA Google's Perceiver-AR Music Transformer Implementation and Model

Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

RL code for training piano-playing policies for RoboPianist.

GPT3-based Multi-Instrumental MIDI Music AI Implementation

OpenAI's GPT2 based Music AI Google Colab Notebooks for Music Generation/Composition and Capabilities Evaluation

一个集成了各种有趣和实用AI项目的工具箱

A CNN which converts piano audio to a simplified MIDI format

Deep Learning & Natural Language Processing model to generate Piano music using LSTM Neural Networks

Official PyTorch implementation of ICASSP 2023 paper "Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach"

[DEAD/NOT SUPPORTED ANYMORE] This is the only fully working and functioning version of Google Magenta Piano Transformer Colab Notebook.

SOTA Piano Transformer model trained on 4.2GB of Solo Piano MIDI music

Machine Learning Generative Classical Music using RNN LSTMs with MIDI music dataset and Magenta Tensorflow

Official Repository for The Paper, PianoBART: Symbolic Piano Music Understanding and Generating with Large-Scale Pre-Training