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bnmpd

Bayesian Nonparametric Multivariate Panel Data Models

computing-sources-for-data-application

This is the computing source for the real data application section for the book chapter "Bayesian inferences for panel count data and interval-censored data with nonparametric modeling of the baseline functions".

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

emulatingvariability

Code in supplement to "Separating internal and externally-forced contributions to global temperature variability using a Bayesian stochastic energy balance framework" accepted in Chaos: An Interdisciplinary Journal of Nonlinear Science

kampvisum-backend

lawyerwebsite

libranet-django

Demo django-project

libranet-tools

Tools-directory with make-files for quick deployment of applications on new machines. Bare-bone metal, no docker.

tcn-gcn-time-series-approach

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.