#

bayesian-optimization

microsoft/nni
https://static.github-zh.com/github_avatars/microsoft?size=40

#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。

Python 14.16 k
9 个月前
https://static.github-zh.com/github_avatars/bayesian-optimization?size=40

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。

Python 8.19 k
1 个月前
https://static.github-zh.com/github_avatars/automl?size=40
Python 7.8 k
3 个月前
SimonBlanke/Gradient-Free-Optimizers
https://static.github-zh.com/github_avatars/SimonBlanke?size=40

#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。

Python 1.23 k
15 天前
https://static.github-zh.com/github_avatars/MIND-Lab?size=40
Python 755
9 个月前
https://static.github-zh.com/github_avatars/EmuKit?size=40

#计算机科学#A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...

Python 623
2 个月前
https://static.github-zh.com/github_avatars/Western-OC2-Lab?size=40
Jupyter Notebook 486
2 年前
https://static.github-zh.com/github_avatars/ray-project?size=40

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Python 468
1 年前
https://static.github-zh.com/github_avatars/sherpa-ai?size=40
JavaScript 337
4 年前
loading...
Website
Wikipedia