yichuanzhu Goto Github PK

bayesian-net-classifier

Various classifiers using bayesian networks, for Knowledge Representation class at UNIBO

bayesian-network-learning

Learning Bayesian Network parameters using Expectation-Maximisation

boosted-bayesian-networks

python implementation of "Boosted Bayesian Network Classifiers"(Jing et al. 2008)-beware of spaghetti code!

earthquake-cencalvm

Query software for USGS San Francisco Bay Area seismic velocity model

geostatsr

Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

myappsample

Sample app

pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pybn

Bayesian Networks in Python

pygpc

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

pyosp

An Python Library for Object-Oriented Swath Profile Analysis

scipy2014-3d_seismic

Data and ipython notebook for my talk at Scipy2014.

soc-drahr

Soil organic carbon data recovery and harmonization (SOC-DRaHR)

testinghub01

For data workshop

yichuanzhu.github.io