Music generators from the Magenta project (Guild AI)
Project description
gpkg.magenta.music
##################
*Music generators from the Magenta project (Guild AI)*
Models
######
melody
======
*Applies language modeling to melody generation using an LSTM*
Operations
^^^^^^^^^^
generate
--------
*Compose melodies using one of three available pretrained models*
Flags
`````
**config**
*Model configuration (basic, lookback, or attention) (basic_rnn)
Choices:
basic_rnn Use basic LSTM
lookback_rnn Use RNN with lookback
attention_rnn Use RNN with attention
*
**outputs**
*Number of melodies to generate (10)*
**primary-midi**
*MIDI file used to prime the generator*
**primer-melody**
*Melody to prime the generator*
**steps**
*Melody length (16 steps = 1 bar) (128)*
##################
*Music generators from the Magenta project (Guild AI)*
Models
######
melody
======
*Applies language modeling to melody generation using an LSTM*
Operations
^^^^^^^^^^
generate
--------
*Compose melodies using one of three available pretrained models*
Flags
`````
**config**
*Model configuration (basic, lookback, or attention) (basic_rnn)
Choices:
basic_rnn Use basic LSTM
lookback_rnn Use RNN with lookback
attention_rnn Use RNN with attention
*
**outputs**
*Number of melodies to generate (10)*
**primary-midi**
*MIDI file used to prime the generator*
**primer-melody**
*Melody to prime the generator*
**steps**
*Melody length (16 steps = 1 bar) (128)*
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file gpkg.magenta.music-0.5.1-py2.py3-none-any.whl
.
File metadata
- Download URL: gpkg.magenta.music-0.5.1-py2.py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.9.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/2.7.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b811ba99c5755e8b6326711c03eb5bffc16dc5e9986b5b16c2355c6307654997 |
|
MD5 | 680db278499a80f7673c53f6b0734c84 |
|
BLAKE2b-256 | f502cf4b939cc1fcaf9847d47a11c60d03857f616d454729d594e49ef0bad07e |