Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.

In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.

This repository contains wrapper scripts for running transition state and IRC (Intrinsic Reaction Coordinate) calculations using Sella and IRC ASE optimizers for the Sella package.

Official implementation of "Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes"

The implementation of advanced mathematical optimization methods

This is my project about liver vessel segmentation in CT images based on hessian matrix and U-Net networks

A curated repository of papers on the Hessian of deep neural networks.

truncated taylor series class with VBIC95 example

Learning Network using Hessian Optimization in PyTorch