Metadata-Version: 2.1
Name: Omnis
Version: 0.0.2.2
Summary: Deep Learning for everyone
Home-page: https://github.com/mkh48v/omnis
Author: Gwihwan Moon
Author-email: mkh48v@snu.ac.kr
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: protobuf (>=3.5.2)
Requires-Dist: opencv-python (>=3.4.2.17)
Requires-Dist: keras (>=2.2.0)
Requires-Dist: keras-squeezenet (>=0.4)
Requires-Dist: numpy (>=1.14.3)

# Omnis
Deep Learning for everyone

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## You have just found Omnis.

Omnis is an API of neural network applications, written in Python and capable of running on top of [Keras](https://github.com/keras-team/keras). It was developed with a focus on enabling fast application of deep learning.

Use Omnis if you need a deep learning library that:

- Is EASY to learn and use.
- Allows for easy and fast prototyping.
- Supports CNN, RNN, GAN, RL and etc.(TBA)
- Runs seamlessly on CPU and GPU.

Omnis is compatible with: __Python 2.7-3.6__.

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## Guiding principles

- __Simplicity.__ Omnis pursues a simple architecture. Designing a software with simple architecture not only helps you to understand the code easily but also helps your painful debugging.

- __Easiness.__ Don't worry about complicated algorithms or theories or mathematics. Omnis will handle difficult stuffs for you. Just learn how to use deep neural network and USE THIS!

- __Modularity.__ No spaghetti code!

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## Why this name, Omnis?

Omnis means _EVERY_ in Latin. The goal of Omnis is to make deep learning technologies easier so that _EVERY_ one can use deep learning technologies without headache.

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