hidude562/OpenMusenet2 开源项目中文解读：技术栈、适用场景与上手建议

项目介绍

hidude562/OpenMusenet2 是一个托管在 GitHub 上的开源项目，主要使用 Jupyter Notebook 编写，目前获得 70 个 Star、8 次 Fork。

仓库全名: hidude562/OpenMusenet2

README 摘要

Announcing... OpenMusenet3! An expanded and enhanced version of OpenAI's MuseNet, with modern architecure and (suspected to be) larger. Compared to musenet, At least to me, it is noticably more coherent, and its signicantly more creative. Samples (Alla Turca) https://github.com/user-attachments/assets/b57798f9-b89d-446f-a359-43ccd5989410 https://github.com/user-attachments/assets/47bff3d5-7b34-40a4-b141-8cedcb654072…

完整内容见 GitHub 原始 README 或本页。

常见问题

OpenMusenet2 用什么语言开发？

主要使用 Jupyter Notebook 编写，目前有 70 个 Star。

如何获取 OpenMusenet2 的源码？

可以直接克隆仓库：git clone https://github.com/hidude562/OpenMusenet2.git，默认分支为 main；安装与运行步骤见仓库 README。

OpenMusenet2 最近还在维护吗？

仓库最近一次更新为 2025年7月16日，当前有 4 个未关闭 Issue；Star 数为 70，可作为社区活跃度的参考。

关于

Open source implementation of OpenAi's musenet

artificial-intelligence midi multi-track musenet music-composition music-generation

70 Stars
8 Forks
6 Watching

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

简要分析

热度分

价值分

活跃状态

活跃

GitHub

语言占比

Jupyter Notebook

Python

贡献者

hidude562

Announcing… OpenMusenet3!

An expanded and enhanced version of OpenAI’s MuseNet, with modern architecure and (suspected to be) larger. Compared to musenet, At least to me, it is noticably more coherent, and its signicantly more creative.

Samples (Alla Turca)

https://github.com/user-attachments/assets/b57798f9-b89d-446f-a359-43ccd5989410

https://github.com/user-attachments/assets/47bff3d5-7b34-40a4-b141-8cedcb654072

3 Hours of music from scratch: https://www.youtube.com/watch?v=p6JX07dAwFw&t=6815s

Interactive notebook:

https://colab.research.google.com/drive/1R3SpV9sajWafITdToC2NOzTw8tkZYWZl?usp=sharing

Library (WIP)

In OpenMusenet3 folder, there is a work in progress library in the works. If you want to use it right now, download it and navigate to examples and you can run the scripts. A notebook will be released eventually

Architecture

Trained for 4096 context tokens (Model is able to support up to 32k)
12 instruments (Unlike Musenet, the instruments aren’t categorized by section, its basically part numbers)
4 dynamics
Qwen-2 model, but with GPT-2 tokenizer?? (Works weirdly well)

TODO:

Notebook for interference
Library

OpenMusenet2 (Legacy)

Open source WIP recreation of OpenAi’s musenet. This supports many of the features of the original Musenet by OpenAI such as multiple track support (altough not guided to specific instrument), 4 levels of dynamics, as well as the note start, length, and note. You can find more info in the OpenMusenet2 folder

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OpenMusenet2