Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

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 ...

Modeling RC circuits and low-pass filters in Python with clear explanations and practical examples. Learn how voltage, time constants, and frequency response work in real circuits. #RCCircuit #LowPass ...

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 ...

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...

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 ...

Abstract: The proposal of the segment anything model (SAM) has created a new paradigm for the deep-learning-based semantic segmentation field and has shown amazing generalization performance. However, ...