Topic: "linear-gaussian-networks"
ostwalprasad/LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Language: Python - Size: 702 KB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 36 - Forks: 8
anmold-07/Probabilistic-Graphical-Models-from-Scratch
Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.
Language: MATLAB - Size: 4.12 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1
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
