Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume…

Dirichlet MLE python library

Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.

A simple finite volume tool for Julia

Dirichlet-Variational Auto-Encoder by PyTorch

java numerical library for Matrix, Integrals (numerical integration), derivatives (numerical differentiation), equations, ODE, polynomials, etc

Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large num…

Create an iterator which evaluates the Dirichlet eta function for each iterated value.

This project is based on an undergraduate research project at the Illinois Geometry Lab and directed by A.J. Hildebrand. Reviewed and published in Wolfram Demonstrations Project website.

Dirichlet eta function.

Unsupervised Topic Modelling project using Latent Dirichlet Allocation (LDA) on the NeurIPS papers. Built as part of the final project for McGill AI Society's Accelerated Introduction to Machine Learning Course (MAIS 202).

Create an iterator which generates a periodic sinc waveform.

Bayesian Clustering of n-gons via a Double Dirichlet Mixture Model

This repository holds JAGS code to first classify subjects into groups sharing similar behaviors in longitudinal measures. Then the second step is measuring differences in survival of an event between groups.

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

Typical subject topics are covered, in 167 notebooks. Streamlined Mathematica shortcuts take precedence over traditional precursor methods. A number of problems are dealt with in an inept, tentative, inefficient, or erroneous manner.

Bachelor's graduate work

Using the 10 last days of S&P 500 mouvements (Up, Down & Flat) to predict a "naive" most likely move for the next day -- Bayesian Statistics project for ENSAE