Resources for Python Crash Course, from No Starch Press.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

A framework for single/multi-objective optimization with metaheuristics

Simple Solution for Multi-Criteria Chinese Word Segmentation

Design of experiments for Python

Multi-Objective Reinforcement Learning

Nondominated sorting for multi-objective problems

Multi-objective Bayesian optimization

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

Multi Objective Simulated Annealing algorithm sample

Modular Multi-Objective Reinforcement Learning with Decision Values

Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes

Code for the implementation of various methods of Non-Homogeneous Dynamic Bayesian Networks inference