Zeras 0.1.0

A simple tensorflow wrapper.

Copyright (c) 2019 Ming-Fan Li

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Description: # Zeras

A simple tensorflow wrapper

## Description

` ├── Zeras │   ├── data_batcher.py │   ├── __init__.py │   ├── layers.py │   ├── LICENSE │   ├── model_graph_template.py │   ├── model_settings_baseboard.py │   ├── model_wrapper.py │   ├── nn.py │   └── vocab.py `

## Installation

From PyPI distribution system:

` pip install Zeras `

Or from the code:

` git clone https://github.com/Li-Ming-Fan/Zeras cd Zeras make clean install `

Or just incorporate the directory Zeras/ to your project.

## Usage

For usage of this package, please refer to the demo, or the repositories:

https://github.com/Li-Ming-Fan/text_classification

https://github.com/Li-Ming-Fan/transformer-tensorflow

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## Acknowledgment

We thank the authors and contributors of TensorFlow, Keras, PyTorch and other DL platforms, and other DLearners. The name “Zeras” is a variant from Keras. We use “Z” because it makes the direcory Zeras/ always display in the last (or first) and do not intersect other directories.

Platform: any