Merge pull request #184 from spoilerdo/opendistro

Add open distro to the anomaly detection chapter

README.md

@@ -400,6 +400,7 @@ www.youtube.com/watch?v=zbjub8BQPyE)
 * [dBoost](https://github.com/cpitclaudel/dBoost) ![](https://img.shields.io/github/stars/cpitclaudel/dBoost.svg?style=social) - Outlier detection in heterogeneous datasets using automatic tuple expansion. [Paper](https://dspace.mit.edu/bitstream/handle/1721.1/101150/MIT-CSAIL-TR-2016-002.pdf?sequence=1).
 * [Deequ](https://github.com/awslabs/deequ) ![](https://img.shields.io/github/stars/awslabs/deequ.svg?style=social) - A library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
 * [Deep Anomaly Detection with Outlier Exposure](https://github.com/hendrycks/outlier-exposure) ![](https://img.shields.io/github/stars/hendrycks/outlier-exposure.svg?style=social) - Outlier Exposure (OE) is a method for improving anomaly detection performance in deep learning models. [Paper](https://arxiv.org/pdf/1812.04606.pdf)
+* [Open Distro Anomaly Detection](https://github.com/opendistro-for-elasticsearch/anomaly-detection) ![](https://img.shields.io/github/stars/opendistro-for-elasticsearch/anomaly-detection.svg?style=social) - The Open Distro (Amazon) for the Elasticsearch Anomaly Detection plugin.
 * [PyOD](https://github.com/yzhao062/pyod) ![](https://img.shields.io/github/stars/yzhao062/pyod.svg?style=social) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). 
 * [SUOD (Scalable Unsupervised Outlier Detection)](https://github.com/yzhao062/SUOD) ![](https://img.shields.io/github/stars/yzhao062/SUOD.svg?style=social) - An Acceleration System for Large-scale Outlier Detection (Anomaly Detection) 
 * [Tensorflow Data Validation (TFDV)](https://github.com/tensorflow/data-validation) ![](https://img.shields.io/github/stars/tensorflow/data-validation.svg?style=social) - Library for exploring and validating machine learning data.