GitHub

Python codes for performing life cycle assessment (LCA) scenario analyses, sensitivity analyses, and Monte Carlo analyses, using systems of equations and variable input parameters

Parametric LCA aims to maintain the relationships between different parameters along the life cycle of a system or product, modeling the system with variables and equations that depict these ...
GitHub

Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

The proposed method estimates the per-pixel surface normal probability distribution, from which the expected angular error can be inferred to quantify the aleatoric ...
Visual Studio Magazine

Wasserstein Distance Using C# and Python

The Data Science Lab Wasserstein Distance Using C# and Python Dr. James McCaffrey of Microsoft Research shows how to compute the Wasserstein distance and explains why it is often preferable to ...
Scientific Research Publishing

An Algorithm for Generating Random Numbers with Normal Distribution ()

A new algorithm is suggested based on the central limit theorem for generating pseudo-random numbers with a specified normal or Gaussian probability density function. The suggested algorithm is very ...
Visual Studio Magazine

How to Do Thompson Sampling Using Python

Thompson Sampling is an algorithm that can be used to analyze multi-armed bandit problems. Imagine you're in a casino standing in front of three slot machines. You have 10 free plays. Each machine ...