This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Experiments in the physical chemistry laboratory often require moderately complex ...

A Library for Robust Gaussian Fitting using geometric models in presence of outliers. Basically, many machine learning methods are based on and limited to cost functions that are differentiable with ...

When modeling groundwater systems in Quaternary formations, one of the first steps is to construct a geological and petrophysical model. This is often cumbersome because it requires multiple manual ...

We have performed dosimetry studies using electron beams with energies up to 50 MeV, which exceed current clinical energy ranges and approaches the bottom end of the very high energy electron range.

In this post, we will see how to implement the feedforward neural network from scratch in python. This is a follow up to my previous post on the feedforward neural networks. Feedforward neural ...

Transition path sampling techniques allow molecular dynamics simulations of complex systems to focus on rare dynamical events, providing insight into mechanisms and the ability to calculate rates ...