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16 stars written in Python
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Resources for Python Crash Course, from No Starch Press.

Python 2,998 1,852 Updated Mar 30, 2021

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

Python 1,465 325 Updated Apr 19, 2024

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

Python 1,129 256 Updated Apr 20, 2021

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

Python 995 172 Updated Sep 2, 2024

A framework for single/multi-objective optimization with metaheuristics

Python 534 151 Updated Dec 22, 2024

Simple Solution for Multi-Criteria Chinese Word Segmentation

Python 301 84 Updated Aug 12, 2020

Design of experiments for Python

Python 273 115 Updated Oct 12, 2021

Multi-Objective Reinforcement Learning

Python 258 50 Updated Aug 10, 2021

Nondominated sorting for multi-objective problems

Python 114 40 Updated Jul 2, 2018

Multi-objective Bayesian optimization

Python 83 23 Updated Apr 14, 2023

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

Python 77 28 Updated Aug 27, 2022

Multi Objective Simulated Annealing algorithm sample

Python 26 8 Updated Oct 25, 2012

Modular Multi-Objective Reinforcement Learning with Decision Values

Python 23 1 Updated Dec 8, 2022

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

Python 23 6 Updated Jul 25, 2018

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

Python 21 6 Updated Jul 6, 2023
Python 17 5 Updated May 3, 2019