semvec/pypi-packages huggingface dataset:
gpkg.slim 0.5.1
TF-Slim support (Guild AI)
License: Apache 2.0
Keywords: gpkg

gpkg.slim
#########

*TF-Slim support (Guild AI)*

This package contains reusable config for implementing custom TF-Slim models.
It does not contain model definitions. If you want to use TF-Slim models
directly, see `gpkg.slim.models`.
gpkg.magenta.music 0.5.1
Music generators from the Magenta project (Guild AI)
License: Apache 2.0
Keywords: gpkg

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)*
gpkg.magenta.image 0.5.1
Image generators from the Magenta project (Guild AI)
License: Apache 2.0
Keywords: gpkg

gpkg.magenta.image
##################

*Image generators from the Magenta project (Guild AI)*

Models
######

arbitrary-stylize
=================

*Fast artistic style transfer using arbitrary painting styles*

Operations
^^^^^^^^^^

generate
--------

*Generate stylized images using one or more style images*

Flags
`````

**content-images**
  *Path to content images (include glob pattern matching images) (required)*

**image-size**
  *Size of images (1024)*

**interpolation-weights**
  *Interpolation weights ([1.0])

  This value is a list of float values inside square brackets. Each value is
  a weight for interpolation between the parameters of the identity
  transform and the style parameters of the style image.

  The larger the weight is the strength of stylization is more. Weight of
  1.0 means the normal style transfer and weight of 0.0 means identity
  transform.  *

**style-images**
  *Path to style images (include glob pattern matching images) (required)*

References
^^^^^^^^^^

- https://github.com/tensorflow/magenta/tree/master/magenta/models/arbitrary_image_stylization
- https://arxiv.org/abs/1705.06830
- https://arxiv.org/abs/1610.07629
- https://arxiv.org/abs/1603.08155
- https://arxiv.org/abs/1508.06576

pretrained-stylize
==================

*Implementation of 'A Learned Representation for Artistic Style'*

Operations
^^^^^^^^^^

generate
--------

*Generate stylized image using a pretrained model*

Flags
`````

**image**
  *Image to stylize (required)*

**style**
  *Style to apply (monet or varied) (required)

  Choices:
    monet   Use Monet style
    varied  Use varied style

  *

References
^^^^^^^^^^

- https://github.com/tensorflow/magenta/tree/master/magenta/models/image_stylization
- https://arxiv.org/abs/1610.07629