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‎.github/ISSUE_TEMPLATE/bug_report.md

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---
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name: Bug report
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about: Create a report to help us improve
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title: ''
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labels: bug
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assignees: CyberZHG
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---
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**Describe the Bug**
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A clear and concise description of what the bug is.
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**Version Info**
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* The version I used is: <0.0.0>
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**Minimal Codes To Reproduce**
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```python
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import keras_xxx
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pass
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```

‎.github/ISSUE_TEMPLATE/feature_request.md

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---
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name: Feature request
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about: Suggest an idea for this project
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title: ''
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labels: enhancement
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assignees: CyberZHG
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---
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**Is your feature request related to a problem? Please describe.**
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
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**Describe the solution you'd like**
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A clear and concise description of what you want to happen.
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**Describe alternatives you've considered**
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A clear and concise description of any alternative solutions or features you've considered.
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**Additional context**
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Add any other context or screenshots about the feature request here.

‎.github/ISSUE_TEMPLATE/question.md

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---
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name: Question
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about: Ask questions about the repo
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title: ''
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labels: question
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assignees: ''
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---
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‎.github/stale.yml

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daysUntilStale: 5
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daysUntilClose: 2

‎.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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# System thumbnail
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.DS_Store
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# IDE
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.idea
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# Images
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*.png
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# Models
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*.h5

‎.travis.yml

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dist: xenial
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language: python
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python:
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- 3.6
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env:
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- KERAS_BACKEND=tensorflow TF_KERAS=1 TF_2=1
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- KERAS_BACKEND=tensorflow TF_KERAS=1 TF_EAGER=1
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- KERAS_BACKEND=tensorflow TF_KERAS=1
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- KERAS_BACKEND=tensorflow
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# - KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile
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install:
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- wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
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- bash miniconda.sh -b -p $HOME/miniconda
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- export PATH="$HOME/miniconda/bin:$PATH"
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- conda config --set always_yes yes --set changeps1 no
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- conda update -q conda
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- conda info -a
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- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION
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- source activate test-environment
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- export LD_LIBRARY_PATH=$HOME/miniconda/envs/test-environment/lib/:$LD_LIBRARY_PATH
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- pip install --upgrade pip
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- pip install -r requirements.txt
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- pip install -r requirements-dev.txt
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- if [[ $TF_2 == "1" ]]; then pip install tensorflow==2.0.0-beta1; fi
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- if [[ $KERAS_BACKEND == "theano" ]]; then pip install theano && conda install mkl mkl-service; fi
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- pip install coveralls
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script:
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- ./test.sh
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after_success:
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coveralls

‎CHANGELOG.md

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# Changelog
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## [Unreleased]
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## [0.0.0] - 2077-07-07
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### Added

‎LICENSE

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MIT License
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Copyright (c) 2019 Zhao HG
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎MANIFEST.in

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include README.md
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include README-zh-CN.md
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include CHANGELOG.md
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include requirements.txt

‎README.md

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# Keras XXX
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[![Travis](https://travis-ci.org/CyberZHG/keras-xxx.svg)](https://travis-ci.org/CyberZHG/keras-xxx)
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[![Coverage](https://coveralls.io/repos/github/CyberZHG/keras-xxx/badge.svg?branch=master)](https://coveralls.io/github/CyberZHG/keras-xxx)
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[![Version](https://img.shields.io/pypi/v/keras-xxx.svg)](https://pypi.org/project/keras-xxx/)
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![Downloads](https://img.shields.io/pypi/dm/keras-xxx.svg)
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![License](https://img.shields.io/pypi/l/keras-xxx.svg)
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![](https://img.shields.io/badge/keras-tensorflow-blue.svg)
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![](https://img.shields.io/badge/keras-theano-blue.svg)
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![](https://img.shields.io/badge/keras-tf.keras-blue.svg)
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![](https://img.shields.io/badge/keras-tf.keras/eager-blue.svg)
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![](https://img.shields.io/badge/keras-tf.keras/2.0_beta-blue.svg)
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\[[中文](https://github.com/CyberZHG/keras-xxx/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-xxx/blob/master/README.md)\]
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## Install
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```bash
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pip install keras-xxx
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```
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## Usage

‎README.zh-CN.md

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# Keras XXX
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[![Travis](https://travis-ci.org/CyberZHG/keras-xxx.svg)](https://travis-ci.org/CyberZHG/keras-xxx)
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[![Coverage](https://coveralls.io/repos/github/CyberZHG/keras-xxx/badge.svg?branch=master)](https://coveralls.io/github/CyberZHG/keras-xxx)
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[![Version](https://img.shields.io/pypi/v/keras-xxx.svg)](https://pypi.org/project/keras-xxx/)
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![Downloads](https://img.shields.io/pypi/dm/keras-xxx.svg)
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![License](https://img.shields.io/pypi/l/keras-xxx.svg)
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![](https://img.shields.io/badge/keras-tensorflow-blue.svg)
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![](https://img.shields.io/badge/keras-theano-blue.svg)
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![](https://img.shields.io/badge/keras-tf.keras-blue.svg)
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![](https://img.shields.io/badge/keras-tf.keras/eager-blue.svg)
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![](https://img.shields.io/badge/keras-tf.keras/2.0_beta-blue.svg)
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\[[中文](https://github.com/CyberZHG/keras-xxx/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-xxx/blob/master/README.md)\]
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## 安装
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```bash
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pip install keras-xxx
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```
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## 使用

‎keras_xxx/__init__.py

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‎keras_xxx/backend.py

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import os
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__all__ = [
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'keras', 'utils', 'activations', 'applications', 'backend', 'datasets', 'engine',
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'layers', 'preprocessing', 'wrappers', 'callbacks', 'constraints', 'initializers',
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'metrics', 'models', 'losses', 'optimizers', 'regularizers', 'TF_KERAS', 'EAGER_MODE'
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]
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TF_KERAS = False
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EAGER_MODE = False
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if os.environ.get('TF_KERAS', '0') != '0':
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import tensorflow as tf
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from tensorflow.python import keras
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TF_KERAS = True
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if os.environ.get('TF_EAGER', '0') != '0':
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try:
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tf.enable_eager_execution()
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raise AttributeError()
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except AttributeError as e:
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pass
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EAGER_MODE = tf.executing_eagerly()
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else:
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import keras
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utils = keras.utils
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activations = keras.activations
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applications = keras.applications
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backend = keras.backend
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datasets = keras.datasets
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engine = keras.engine
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layers = keras.layers
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preprocessing = keras.preprocessing
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wrappers = keras.wrappers
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callbacks = keras.callbacks
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constraints = keras.constraints
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initializers = keras.initializers
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metrics = keras.metrics
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models = keras.models
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losses = keras.losses
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optimizers = keras.optimizers
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regularizers = keras.regularizers

‎publish.sh

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#!/usr/bin/env bash
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rm -rf dist/* && python3 setup.py sdist && twine upload dist/*

‎requirements-dev.txt

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setuptools>=38.6.0
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twine>=1.11.0
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wheel>=0.31.0
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tensorflow
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nose
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pycodestyle
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coverage

‎requirements.txt

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numpy
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Keras

‎setup.py

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import codecs
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from setuptools import setup, find_packages
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with codecs.open('README.md', 'r', 'utf8') as reader:
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long_description = reader.read()
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with codecs.open('requirements.txt', 'r', 'utf8') as reader:
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install_requires = list(map(lambda x: x.strip(), reader.readlines()))
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setup(
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name='keras-xxx',
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version='0.0.0',
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packages=find_packages(),
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url='https://github.com/CyberZHG/keras-xxx',
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license='MIT',
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author='CyberZHG',
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author_email='[email protected]',
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description='XXX implemented in Keras',
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long_description=long_description,
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long_description_content_type='text/markdown',
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install_requires=install_requires,
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classifiers=(
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"Programming Language :: Python :: 3.6",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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),
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)

‎test.sh

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#!/usr/bin/env bash
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pycodestyle --max-line-length=120 keras_xxx tests && \
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nosetests --nocapture --with-coverage --cover-erase --cover-html --cover-html-dir=htmlcov --cover-package=keras_xxx --with-doctest

‎tests/__init__.py

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