/ml-dl-models

Python package to integrate various pre-trained Machine Learning and Deep Learning to your project through ml-dl-models api.

Primary LanguagePythonMIT LicenseMIT

ML-DL-Models

ML-DL-Models is library to integrate various pre-trained Machine Learning and Deep Learning to your project through ml-dl-models api link.

Usage

In the following paragraphs, I am going to describe how you can get and use ml-dl-models for your projects.

Getting it

To download ml-dl-models, either fork this github repo or simply use Pypi via pip.

$ python -m pip install --upgrade pip
$ pip install ml-dl-models

Using it

ML-DL-Models was programmed with ease-of-use in mind. First, import models from it.

from ml_dl_models import MelodyGenerator

Now you are ready to create an Melody from a MelodyGenerator model.

data = {'keys':'c d e', 'default':True}
path = '/home/LaxmanMaharjan/melody.mp3' # default value is 'melody.mp3' in same directory.
mg = MelodyGenerator(data = data, path = path)
mg.generate_melody()

You can also get the cached notes(notes that are already fetched to model) from Melody Generator.

mg = MelodyGenerator()
print(mg.get_cached_notes)

You can instantiate MelodyGenerator class with default value of data and path.

mg = MelodyGenerator()
mg.generate_melody()

Note: If you use default value of data and path to instantiate MelodyGenerator class than data is chosen from one of the values from cached data.

Learn more about Data Representation link