Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...

Abstract: The research aims to ridge regression modelling to investigate the rainfall trends and temporal patterns of the variability the very comprehensive understanding of the precipitation dynamics ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

This repository contains a Simscape model of a quadrupeded robot able to walk on flat and inclined terrain, with a environment that presents different obstacles, and the posibility of open-loop or ...

When it comes to data science, you have excellent tools at your disposal: pandas and polars for data exploration, skrub for stateful transformations, and scikit-learn for model training and evaluation ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

In this work we present two main contributions: the first one is a Python implementation of the discrete approximation of the Laplace-Beltrami operator (LBO) (Belkin et al., 2008) allowing us to solve ...