A Rigorous Sampling-Based Approach for Sequential Pattern Mining

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

This repo contain ressources of the course UP2

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

Implementation of active learning sampler

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

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

Group Project for the USTH Machine Learning 2 Course 2023

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

Microstructure optimization of constrained design objectives using machine learning based feedback aware data generation

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.

Implementation of Prior, Rejection, Likelihood and Gibbs Sampling

This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.

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

Simple commented code to understand the Inverse Transform Sampling approach

Determine a text is written by machine or human. Texts from different domains may influence model's classification. Another issue is imbalance instances in two labels. The model solves this two issues and then classify.

The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.