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AntiNex Utilities for Keras and Tensorflow

Project description

Standalone utilities for training AI.

Travis AntiNex AI Utilities Tests Read the Docs AntiNex AI Utilities Tests

Used in:

https://github.com/jay-johnson/train-ai-with-django-swagger-jwt

Install

pip install antinex-utils

Development

  1. Set up the repository

    mkdir -p -m 777 /opt/antinex
    git clone https://github.com/jay-johnson/antinex-utils.git /opt/antinex/utils
    cd /opt/antinex/utils
  2. Set up the virtual env and install

    virtualenv -p python3 ~/.venvs/antinexutils && source ~/.venvs/antinexutils/bin/activate && pip install -e .

Testing

Run all

python setup.py test

Run a test case

python -m unittest tests.test_classification.TestClassification.test_classification_deep_dnn
python -m unittest tests.test_regression.TestRegression.test_dataset_regression_using_scaler

AntiNex Stack Status

AntiNex AI Utilities is part of the AntiNex stack:

Component

Build

Docs Link

Docs Build

REST API

Travis Tests

Docs

Read the Docs REST API Tests

Core Worker

Travis AntiNex Core Tests

Docs

Read the Docs AntiNex Core Tests

Network Pipeline

Travis AntiNex Network Pipeline Tests

Docs

Read the Docs AntiNex Network Pipeline Tests

AI Utils

Travis AntiNex AI Utils Tests

Docs

Read the Docs AntiNex AI Utils Tests

Client

Travis AntiNex Client Tests

Docs

Read the Docs AntiNex Client Tests

Linting

flake8 .

pycodestyle –exclude=.tox,.eggs

License

Apache 2.0 - Please refer to the LICENSE for more details

Project details


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