Metadata-Version: 2.0
Name: antinex-core
Version: 1.0.16
Summary: AntiNex publisher-subscriber core for processing training and prediction requests for deep neural networks to detect network exploits using Keras and Tensorflow in near real-time.
Home-page: https://github.com/jay-johnson/antinex-core
Author: Jay Johnson
Author-email: jay.p.h.johnson@gmail.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: antinex-utils
Requires-Dist: celery
Requires-Dist: celery-connectors
Requires-Dist: celery-loaders
Requires-Dist: colorlog
Requires-Dist: coverage
Requires-Dist: docker-compose
Requires-Dist: flake8 (>=3.4.1)
Requires-Dist: future
Requires-Dist: h5py
Requires-Dist: keras
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pep8 (>=1.7.1)
Requires-Dist: pipenv
Requires-Dist: pycodestyle
Requires-Dist: pydocstyle
Requires-Dist: pylint
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: requests
Requires-Dist: tables
Requires-Dist: tensorflow
Requires-Dist: tox
Requires-Dist: tqdm
Requires-Dist: unittest2
Requires-Dist: mock

AntiNex publisher-subscriber core for processing training and prediction requests for deep neural networks to detect network exploits using Keras and Tensorflow in near real-time.


