Difference between revisions of "Magenta"
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[http://www.google.com/search?q=Magenta+Magenta.js+tensoflow.js Google search...] | [http://www.google.com/search?q=Magenta+Magenta.js+tensoflow.js Google search...] | ||
| − | * [[Music]] | + | * [[Art]] & [[Music]] |
* [[TensorFlow.js]] | * [[TensorFlow.js]] | ||
| + | * [http://github.com/tensorflow/magenta-demos/blob/master/README.md#Installation Magenta Demos - GitHub] | ||
* [http://magenta.tensorflow.org/music-vae MusicVAE: Creating a palette for musical scores with machine learning | Roberts, engel, Raffel, Simon, and Hawthorne] | * [http://magenta.tensorflow.org/music-vae MusicVAE: Creating a palette for musical scores with machine learning | Roberts, engel, Raffel, Simon, and Hawthorne] | ||
| − | * [http:// | + | * [http://magenta.tensorflow.org/nsynth NSynth: Neural Audio Synthesis] - acoustic qualities of the learned instrument |
| − | Make Music and Art: Magenta is distributed as an open source [[Python]] library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[ | + | Make Music and Art: Magenta is distributed as an open source [[Python]] library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[JavaScript]] API for using the pre-trained Magenta models in the browser. It is built with [[TensorFlow.js]], which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start! |
<youtube>GJfjKdpmN6g</youtube> | <youtube>GJfjKdpmN6g</youtube> | ||
<youtube>2f20d0LJSuk</youtube> | <youtube>2f20d0LJSuk</youtube> | ||
| + | <youtube>rU2ieu5o5DQ</youtube> | ||
| + | <youtube>AaALLWQmCdI</youtube> | ||
Latest revision as of 21:55, 5 December 2023
Youtube search... Google search...
- Art & Music
- TensorFlow.js
- Magenta Demos - GitHub
- MusicVAE: Creating a palette for musical scores with machine learning | Roberts, engel, Raffel, Simon, and Hawthorne
- NSynth: Neural Audio Synthesis - acoustic qualities of the learned instrument
Make Music and Art: Magenta is distributed as an open source Python library, powered by TensorFlow. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source JavaScript API for using the pre-trained Magenta models in the browser. It is built with TensorFlow.js, which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!
