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        "description": "# Kassandra\n\nDescription.\n\nI'm open to all feedback, commentary, and suggestions as long as they are constructive and polite.\n\n### Authors\n\n**James Montgomery** - *Initial work* - [jamesmontgomery.us](http://jamesmontgomery.us)\n\n### License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes.\n\n### Installing\n\n\n### Basic Examples\n\nRegression Examples\n* [Multi Layer Perceptron](https://github.com/James-Montgomery/kassandra/tree/master/docs/examples/Regression/Multi_Layer_Perceptron.ipynb)\n* [Gaussian Process](https://github.com/James-Montgomery/kassandra/tree/master/docs/examples/Regression/Gaussian_Process.ipynb)\n* [Bayesian Neural Network with MCDropout](https://github.com/James-Montgomery/kassandra/tree/master/docs/examples/Regression/Bayesian_Network_Dropout.ipynb)\n* [Bayesian Neural Network with Variational Inference](https://github.com/James-Montgomery/kassandra/tree/master/docs/examples/Regression/Bayesian_Network_Variational_Inference.ipynb)\n\nClassification Examples (TBD)\n* Multi Layer Perceptron\n* Gaussian Process\n* Bayesian Neural Network with MCDropout\n* Bayesian Neural Network with Variational Inference\n\n## Testing\n\nTesting is an important part of creating maintainable, production grade code.\n\n### Running the unit tests\n\n\n### Running the style tests\n\n\n## Acknowledgments\n\n\n",
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