Chen-Wei Chang's repositories

gaft

A Genetic Algorithm Framework in Python

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Applied-Social-Network-Analysis-in-Python

Course - 5; Specialization: Applied Data Science with Python; University Of Michigan

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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Chemical-Process-Design---Optimization

Multiple programs created for class(es) involving process design and optimization.

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DEAP-SimpleExample-Notebook

( 🦉 ) This code lab intended to introduce new Machine Learning Algorithm // DEAP : Distributed Evolutionary Algorithm Framework.

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evolutionary-computation-course

Jupyter/IPython notebooks about evolutionary computation.

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evolutionary_algorithm_NSGA-II

The multiobjective evolutionary algorithm NSGA-II implemented by Python.

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HBMOO

Hybrid Bayesian Multi-Objective Optimisation

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notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

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george

Fast and flexible Gaussian Process regression in Python

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gtc2017-numba

Numba tutorial for GTC 2017 conference

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Gurobi-Python

Learning how to use gurobi with python (in chinese)

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machine-learning-python

機器學習: Python

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metaknowledge

A Python library for doing bibliometric and network analysis in science and health policy research

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MO-ASMO

This is a standalone version of MO-ASMO, a surrogate based multi-objective optimization algorithm.

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moeac-solver

Open Source Python Library for Multiobjective Optimization with contraints

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mongodb-quickstart-course

Course demos and handout material for Talk Python's MongoDB Quickstart course

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NetworkflowOptimization

利用Dijkstra算法,综合考虑限制条件,实现运输成本最优

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numerical_stats

Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python

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OptimizationUsingGA

分布参数拟合--利用智能算法进行优化

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or-tools

Google's Operations Research tools

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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Rdatasets

An archive of datasets distributed with R

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scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

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sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

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spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

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xlwings

xlwings is a BSD-licensed Python library that makes it easy to call Python from Excel and vice versa. It works with Microsoft Excel on Windows and Mac. Sign up for the newsletter or follow us on twitter via

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