This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
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Updated
Jul 11, 2021 - Jupyter Notebook
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Gauss Naive Bayes in Python From Scratch.
PyPi package for modelling Probability distributions
The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.
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
Estimation of Distribution algorithms Python package
Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.
A library providing math and statistics operations for numbers of arbitrary size.
Kalman filter finds the most optimum averaging factor for each consequent state. Also somehow remembers a little bit about the past states.
"Gaussian RAM: Lightweight Image Classification via Stochastic Retina Inspired Glimpse and Reinforcement Learning" (ICCAS 2020)
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.
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
Naive Bayes classifier and Logistic Regression classifier to predict whether a transaction is fraudulent or not
Procedually generated world maps! 🗺️🌎😄
A new version code for the porject "RobustFlightsOld" to make it more readable and high productivity.Then add a new efficace method to trace the data uncertainty
Modern C++ library handling gaussian processes
Longtail transforms RV from the given empirical distribution to the standard normal distribution
A Proof-of-Concept implementation of the homomorphic encryption scheme by Yoshinori Aono et al.
about statistical techniques for Data Science
'Asips' is a Research conducted for automating the pulsar star candidate selection process. This is the API of Asips which can be used by anyone. This implementation uses the HTRU2 dataset.
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