Uplift modeling and causal inference with machine learning algorithms

NeuroEvolution Optimization with Reinforcement Learning

复杂网络研究资源整理和基础知识学习

The standard and parallel single-objective EGO algorithms

Single Objective Bound Constrained Benchmark

A fast Kriging-assisted evolutionary algorithm based on incremental learning

Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection

A population prescreening strategy for Kriging-assisted evolutionary computation

动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

Awesome Multitask Learning Resources

pandas中文教程

A collection of Benchmark functions for numerical optimization problems. Framework of OPtimization FUnction in NUmpy (opfunu)

Machine learning, computer vision, statistics and general scientific computing for .NET

A MATLAB Implementation of Heuristic Algorithms to Traveling Salesman Problem and Vehicle Routing Problems.

Heap Based Optimizer inspired by corporate rank hierarchy for global optimization

Codes related to activities on AV including articles, hackathons and discussions.

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

Code for surrogate-assisted hierarchical particle swarm optimization

Matlab code for the implementation of GORS-SSLPSO

Surrogate Based Design Optimization Toolbox

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems

Robust algorithm for global optimization problems

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Notebook for complex networks analysis with python and NetworkX