GitHub topics: gaussian-models
helske/KFAS
KFAS: R Package for Exponential Family State Space Models
Language: R - Size: 1.91 MB - Last synced at: 25 days ago - Pushed at: 27 days ago - Stars: 66 - Forks: 16

BleztRow/ModelFitting-Classification-Techniques
implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.
Language: Jupyter Notebook - Size: 875 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

armankhatamsaz/ModelFitting-Classification-Techniques
implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cmusso86/recalibratiNN
R Package for Quantile Recalibration of Gaussian Models
Language: R - Size: 152 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 1

DylanB95/statespacer
statespacer: State Space Modelling in R
Language: R - Size: 4.52 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 7

azureblue/cec
Cross-Entropy Clustering R Package
Language: C++ - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 3

YoC00lig/Elements-of-statistical-machine-learning
Elements of statistical machine learning course at AGH UST in 2023
Language: Jupyter Notebook - Size: 3.69 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ClaireDel/Analyse-de-donnees-pour-guider-les-choix-d-affectation-de-l-aide-humanitaire-internationale
Language: Python - Size: 1.91 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

davpinto/master-thesis
My Master's thesis on Bayesian Classification with Regularized Gaussian Models
Language: R - Size: 40.7 MB - Last synced at: over 2 years ago - Pushed at: over 9 years ago - Stars: 2 - Forks: 1

mark-antal-csizmadia/variational-inference
Factorized variational approximation using a univariate Gaussian distribution over a single variable x.
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

jvirico/bayesian-inference-linear-gaussian-model
Classification task of body positions of skeletal body movements recorded from a Kinect device (Kinect Gesture Dataset). A Bayesian approach is employed using a Linear Gaussian Model and Maximum Likelihood Estimation, assuming dependencies between skeleton joints.
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1
