Gauss Naive Bayes in Python From Scratch.

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

Official project of DiverseSampling (ACMMM2022 Paper)

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

PyPi package for modelling Probability distributions

Conditional Flow matching for Image and video

This repository contains implementation of Neural Network,k-Means and Gaussian Mixture Models with Python

Proposing a novel approach on using Naives Bayes by using Robust Kernel Density Estimation (RKDE) and optimising the bandwith(h) with Harris Hawks Optimization (HHO)

galton board simulation in python

PyPi package for implementation of Gaussian and Binomial probability distributions.

Basic distributions code in Python for faster creation and visualisation of distributions.

Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis

My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba

A package that can calculate Gaussian as well as Binomial distributions.

A python package for easy dealing with Binomial and Gaussian distribution

Jittor reimplementation of DiverseSampling (MM22)

A numpy-only Gaussian Process optimisation mini library built for instructional purposes.

MachineLearning Examples with Python

Gaussian and Binomial distributions Python Package for Machine Learning and Data Science