This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

A library providing math and statistics operations for numbers of arbitrary size.

Gauss Naive Bayes in Python From Scratch.

Estimation of Distribution algorithms Python package

The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

Modern C++ library handling gaussian processes

pg_math extension to support statistical distribution functions for PostgreSQL

"Gaussian RAM: Lightweight Image Classification via Stochastic Retina Inspired Glimpse and Reinforcement Learning" (ICCAS 2020)

Official project of DiverseSampling (ACMMM2022 Paper)

Surface water quality data analysis and prediction of Potomac River, West Virginia, USA. Using time series forecasting, and anomaly detection : ARIMA, SARIMA, Isolation Forest, OCSVM and Gaussian Distribution

A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.

Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.

TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Longtail transforms RV from the given empirical distribution to the standard normal distribution

Fast Gaussian distributed pseudorandom number generation in Java via the Ziggurat algorithm

PyPi package for modelling Probability distributions

C++ and Julia Normal distribution generated with uniform distribution

Explanate how the algorithm of Expectation-Maximization in Gaussian Mixture works for clustering.

This repository contains a model for Digital communication system employing 32-ary PSK modulation scheme for a Bird signal.