An open source research project exploring the role of machine learning as a tool in the creative process.
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Magenta 是一个开源研究项目,旨在探索机器学习在创作过程中的作用。其 GitHub 账户包含多个公共存储库,主要使用 Python、JavaScript 和 TypeScript 等编程语言。值得注意的项目包括 magenta、ddsp 和 magenta-js,涵盖音乐和艺术生成等领域。
Magenta: Music and Art Generation with Machine Intelligence
DDSP: Differentiable Digital Signal Processing
Magenta.js: Music and Art Generation with Machine Learning in the browser
MT3: Multi-Task Multitrack Music Transcription
Magenta RealTime 2: An Open-Weights Live Music Model
Demonstrations of Magenta Models
Magenta Studio is a collection of music plugins built on Magenta’s open source tools and models
Realtime DDSP Neural Synthesizer and Effect
🔥 Virtual room in your browser that lets you play with the Lo-Fi VIBE and relax
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Synthesis of MIDI with DDSP (https://midi-ddsp.github.io/)
Symbolic Music Generation with Diffusion Models
Play real-time music with a machine learning drummer that drums based on your melody.
A serializable note sequence representation and utilities.
An app to make it easier to explore and curate output from a Music Transformer
The Infinite Crate is a DAW plugin built on JUCE, React, and the Lyria RealTime live music model
Visualizing the Music Transformer attention
Interactive visualizations for the Bach Doodle dataset
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Temporary patched version of sequence layers w/ MLX support
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magenta 在 GitHub 上构建了多个与音乐和艺术生成相关的项目,包括 magenta、ddsp 和 magenta-js。这些项目展示了机器学习在创作领域的应用。
magenta 的主要编程语言包括 Python、JavaScript、TypeScript、Jupyter Notebook、C++ 和 HTML。这些语言支持其在创作过程中的各种工具和模型开发。
是的,magenta 的所有存储库都是公开的。用户可以访问这些存储库,以了解其项目、参与开发或获取灵感。