bayesian-learning

There are 2 repositories under bayesian-learning topic.

mbeyeler / opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
machine-learning opencv jupyter-notebook conda-environment python decision-tree support-vector-machine classifying-handwritten-digits bayesian-learning
Language:Jupyter Notebook 800
kourouklides / artificial_neural_networks
A collection of Methods and Models for various architectures of Artificial Neural Networks
machine-learning machine-learning-algorithms machinelearning neural-networks bayesian-inference bayesian-learning deep-learning deep-neural-networks bayesian-neural-networks tensorflow edward python variational-inference probabilistic-models probabilistic-modeling keras artificial-neural-networks data-science edward2
Language:Python 41
riccardodesanti / probabilistic-AI
Projects of the Probabilistic Artificial Intelligence class at ETH Zurich
gaussian-processes bayesian-learning bayesian-neural-networks bayesian-optimization active-learning reinforcement-learning
Language:Python 9
loreloc / bayesian-gp-regression
Comparison of Several Bayesian Regression Techniques and Gaussian Processes
bayesian-learning regression generalized-linear-models gaussian-processes
Language:Jupyter Notebook 5
Dorsa-Arezooji / Retail-Analytics
Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning
data-analysis random-forest linear-regression prediction bayesian-learning retail-data
Language:Jupyter Notebook 3
prashjha / BayesForSEIRD
Application of OPAL (Occam Plausibility Algorithm) based Bayesian learning to SEIRD model of COVID-19 disease spread in Texas
covid-19 texas seird-model bayesian-inference bayesian-learning
Language:Jupyter Notebook 3
angelognazzo / Probabilistic-Artificial-Intelligence
Repository that contains the projects of the Probabilistic Artificial Intelligence class offered in Fall 2021 at ETH Zurich
active-learning bayesian-learning bayesian-neural-networks bayesian-optimization deep-learning gaussian-processes machine-learning neural-network reinforcement-learning
Language:Python 2
Goykhman / Simple_Bayesian_update
Simple Bayesian update of the coin toss probabilities.
probability bayesian bayesian-inference bayesian-learning quantum-mechanics coin-toss-probabilities
Language:Python 2
prushh / data-analytics-exercises
Exercises for the "Data Analytics" course, University of Bologna (2021/2022)
bayesian-learning data-aquisition data-visualization decision-tree linear-regression pandas clustering svm one-hot-encoding
Language:Python 2
SukritiGupta / Bayesian_Learning
Learning parameters for a bayesian network based on health records data -Assignment 4 (Artificial Intelligence: COL333)
bayesian-networks bayesian-learning
Language:C++ 2
ivanorsolic / ssm
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.
bayesian-inference bayesian-learning hidden-markov-models
Language:Jupyter Notebook 1
ziyaddhuka / Learning-algorithms-in-Bayesian-Network
Implementation of FOD-learn (fully observed data), Expectation Maximisation(Partially Observed Data) and Latent Variable Learning in Bayesian Network
bayesian-inference bayesian-learning expectation-maximization network-learning python3
Language:Python 1
haimgoldfisher / Data_Visualization_Final_Project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
Language:Jupyter Notebook 0
ion-bueno / bayesian-learning
Making use of bayesian learning, three common applications are developed.
bayesian-classifier bayesian-cluster-analysis bayesian-learning bayesian-regression r-markdown
Language:HTML 0
VladMarianCimpeanu / wine-classification
Final project for Bayesian learning & Montecarlo simulation course attended at Polimi in 2022. The objective is to build a Bayesian model able to predict the quality of a given wine
bayesian-learning gibbs-sampling jags montecarlo-simulation ordinal-regression r
Language:R 0
activatedgeek / bayesian-learning-demo
Visualizing Bayesian Learning
bayesian-learning machine-learning visualization
Language:JavaScript
mehdi-abbasi / Knn-Bayes-RF-from-Scratch
Simple implementation of knn & Bayesian Learning & Random Forest from Scratch
machine-learning knn-classifier knn-algorithm bayesian-learning bayes-classifier iris-dataset random-forest random-forest-classifier
Language:Jupyter Notebook
pmcelroy4 / CPE-695---Applied-Machine-Learning
My Programming Assignments from the CPE 695 Applied Machine Learning Course from Stevens Institute of Technology
algorithms bayesian-learning decision-trees logistic-regression machine-learning optimization scikit-learn support-vector-machines
Language:Jupyter Notebook
Shashwat4K / Basic-Naive-Bayes-Classifier
Python implementation of Naive Bayes Classifier.
bayesian-learning machine-learning naive-bayes-classifier
Language:Python

bayesian-learning

mbeyeler / opencv-machine-learning

kourouklides / artificial_neural_networks

riccardodesanti / probabilistic-AI

loreloc / bayesian-gp-regression

Dorsa-Arezooji / Retail-Analytics

prashjha / BayesForSEIRD

angelognazzo / Probabilistic-Artificial-Intelligence

Goykhman / Simple_Bayesian_update

prushh / data-analytics-exercises

SukritiGupta / Bayesian_Learning

ivanorsolic / ssm

ziyaddhuka / Learning-algorithms-in-Bayesian-Network

haimgoldfisher / Data_Visualization_Final_Project

ion-bueno / bayesian-learning

VladMarianCimpeanu / wine-classification

activatedgeek / bayesian-learning-demo

mehdi-abbasi / Knn-Bayes-RF-from-Scratch

pmcelroy4 / CPE-695---Applied-Machine-Learning

Shashwat4K / Basic-Naive-Bayes-Classifier