Stars
Resources for Python Crash Course, from No Starch Press.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
A framework for single/multi-objective optimization with metaheuristics
Simple Solution for Multi-Criteria Chinese Word Segmentation
Nondominated sorting for multi-objective problems
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