Add HEBO. (#484)

Author: AntGro

README.md

@@ -257,6 +257,7 @@ This repository contains a curated list of awesome open source libraries that wi
 * [Featuretools](https://github.com/alteryx/featuretools) ![](https://img.shields.io/github/stars/alteryx/featuretools.svg?style=social) - An open source framework for automated feature engineering.
 * [FLAML](https://github.com/microsoft/FLAML) ![](https://img.shields.io/github/stars/microsoft/FLAML.svg?style=social) - FLAML is a fast library for automated machine learning & tuning.
 * [go-featureprocessing](https://github.com/nikolaydubina/go-featureprocessing) ![](https://img.shields.io/github/stars/nikolaydubina/go-featureprocessing.svg?style=social) - A feature pre-processing framework in Go that matches functionality of sklearn.
+* [HEBO](https://github.com/huawei-noah/HEBO) ![](https://img.shields.io/github/stars/huawei-noah/HEBO.svg?style=social) - Set of open-source hyperparameter optimization frameworks, including the winning submission to the [NeurIPS 2020 Black-Box Optimisation Challenge](https://bbochallenge.com/leaderboard) tested on hyperparameter tuning tasks. 
 * [Katib](https://github.com/kubeflow/katib) ![](https://img.shields.io/github/stars/kubeflow/katib.svg?style=social) - A Kubernetes-based system for Hyperparameter Tuning and Neural Architecture Search.
 * [keras-tuner](https://github.com/keras-team/keras-tuner) ![](https://img.shields.io/github/stars/keras-team/keras-tuner?style=social) - Keras Tuner is an easy-to-use, distributable hyperparameter optimisation framework that solves the pain points of performing a hyperparameter search. Keras Tuner makes it easy to define a search space and leverage included algorithms to find the best hyperparameter values.
 * [Maggy](https://github.com/logicalclocks/maggy) ![](https://img.shields.io/github/stars/logicalclocks/maggy.svg?style=social) - Asynchronous, directed Hyperparameter search and parallel ablation studies on Apache Spark - [(Video)](https://www.youtube.com/watch?v=0Hd1iYEL03w).