A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)

This repo contain ressources of the course UP2

PPQplan — Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis

Optimal control solution for conditioning of a random walk with exponentially distributed jump size in a cylinder

Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.

Python code for near-uniform sampling of N-dimensional spheres

Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions

📖 🌎 Scripts written during DEVELOP training in Google Earth Engine based on modules from Colorado State University.

Group Project for the USTH Machine Learning 2 Course 2023

Visualization of different distribution sampling methods.

Python tools to sample randomly with dont pick closest n elements constraints. Also contains a batch generator for the same to sample with replacement and with repeats if necessary.

Implementation of active learning sampler

Statistical analysis to determine how video game sales have been doing for the past decades.

A small python module to play with the "friendship paradox" (graph sampling bias).

The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS…

Tools for efficient global sensitivity analyses for models with correlated input parameters.

So Simple (and so cute hahah) Auditing Sampling Tool for estimating sample size.

Simple commented code to understand the Inverse Transform Sampling approach