#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
翻译 - 用于自动化机器学习生命周期的开源AutoML工具包，包括功能工程，神经体系结构搜索，模型压缩和超参数调整。
A Python implementation of global optimization with gaussian processes.
翻译 - 具有高斯过程的全局优化的Python实现。
Automated Machine Learning with scikit-learn
翻译 - 使用scikit-learn进行自动化机器学习
#计算机科学#Sequential model-based optimization with a `scipy.optimize` interface
翻译 - 具有`scipy.optimize`接口的基于模型的顺序优化
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
#计算机科学#Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
翻译 - 在数值离散搜索空间中的本地，全局，基于人口和顺序技术的简单可靠优化。