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.

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.

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

This repository contains some of the works in probability and statistics I did recently.

PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).

naive implementation of the CFTP algorithm and a simple Ising model simulation

Two simple commented codes to understand the accept/reject sampling method when dealing with pdfs with bounded and unbounded support

A machine learning based application to help detect fraud among Medicare practitioners.