achillesrasquinha / deeply

A library for Deep Learning Implementations and utils

deeply

🧠 deeply is a simple and elegant Deep Learning library written in Python containing a growing collection of deep learning models, datasets and utilities.

Behold, the power of deeply:

>>> import deeply
>>> import deeply.datasets as dd
>>> # load mnist
>>> mnist = dd.load("mnist")
>>> (train, val), test = dd.split(mnist["train"], splits = (.8, .2)), mnist["test"]
>>> # build model
>>> model = deeply.hub("efficient-net-b7", pretrained = True)
>>> model.fit(train, validation_data = val, epochs = 10)

Table of Contents

• Features
• Quick Start
• Usage
• License

Features

• Python 2.7+ and Python 3.4+ compatible.

Quick Start

$ pip install deeply

Check out installation for more details.

Usage

Application Interface

>>> import deeply

Command-Line Interface

$ deeply
Usage: deeply [OPTIONS] COMMAND [ARGS]...

  A Deep Learning library

Options:
  --version   Show the version and exit.
  -h, --help  Show this message and exit.

Commands:
  help     Show this message and exit.
  version  Show version and exit.

License

This repository has been released under the MIT License.

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Made with ❤️ using boilpy.