The Wayback Machine - https://web.archive.org/web/20210815213849/https://github.com/topics/bayesian-learning
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M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Updated
Feb 5, 2019
Jupyter Notebook
A collection of Methods and Models for various architectures of Artificial Neural Networks
Updated
May 21, 2021
Python
Simple Bayesian update of the coin toss probabilities.
Updated
Aug 25, 2020
Python
Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning
Updated
Jul 18, 2020
Jupyter Notebook
A fork of a Bayesian learning and inference for state space models library, created due to some dependencies mismatching and for posterity because it's used in a private Colab notebook.
Updated
Jul 21, 2020
Jupyter Notebook
Learning parameters for a bayesian network based on health records data -Assignment 4 (Artificial Intelligence: COL333)
Visualizing Bayesian Learning
Updated
Dec 9, 2017
JavaScript
Implementation of FOD-learn (fully observed data), Expectation Maximisation(Partially Observed Data) and Latent Variable Learning in Bayesian Network
Updated
Aug 9, 2021
Python
Application of OPAL (Occam Plausibility Algorithm) based Bayesian learning to SEIRD model of COVID-19 disease spread in Texas
Updated
Apr 9, 2021
Jupyter Notebook
Python implementation of Naive Bayes Classifier.
Updated
Jun 19, 2020
Python
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