ZhihaoLiu-git
Bayesian optimization, Algorithm design for large-scale optimization problems in data science
Singapore University of Technology and DesignSingapore
Pinned Repositories
Auto_Machine_Learning
Automated Machine Learning tool
AutoGL
An autoML framework & toolkit for machine learning on graphs.
Awesome-paper-collections
Some paper collections and summarizations
Bayesian-Optimisation-over-Categorical-Inputs-with-Target-Encoding-Methods
Many real-world functions are defined over both categorical and continuous variables. To optimize such functions, we propose a new method that formulates the categorical variables as a continuous encoding variables, wherein each category corresponds to function value.
Competitvie-multi-task-bayesian-optimization
Competitvie multi-task bayesian optimization
Encoding_BO
ExpensiveOptimBenchmark
gaussian-process-bayesian-optimization-visualization
geatpy
Evolutionary algorithm toolbox and framework with high performance for Python
vega
AutoML tools chain
ZhihaoLiu-git's Repositories
ZhihaoLiu-git/Auto_Machine_Learning
Automated Machine Learning tool
ZhihaoLiu-git/Data_Analysis
ZhihaoLiu-git/Design-of-experiment-Python
Design-of-experiment (DOE) generator for science, engineering, and statistics
ZhihaoLiu-git/intro_ds
Code to accompany Mastering Data Science from PT press
ZhihaoLiu-git/LearningML
ZhihaoLiu-git/Machine-Learning-Session
ZhihaoLiu-git/nn-bayesian-optimization
We use a modified neural network instead of Gaussian process for Bayesian optimization.
ZhihaoLiu-git/SJTU-Courses
上海交通大学课程资料分享
ZhihaoLiu-git/tutorials
机器学习相关教程