Code for A Weighted Mini-Bucket Bound for Solving Influence Diagrams (UAI 2019) and Join-Graph Decomposition Bounds for Influence Diagrams (UAI 2018).

A comprehensive Fortran framework for computing nucleon-nucleon scattering phase shifts using variational methods with different potential models.

A GUI for the Variational_Principle repository in PyQT

My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark

Key Words: Neural Network, Variational Method, Maximum Flux Path (MFP), Minimum Energy Path (MEP), Minimum Action Path (MAP), High-Dimensional Applications, Ginzburg–Landau Functional, Alanine Dipeptide, gMAM

My PhD thesis: Automated Analysis of Time-resolved X-ray Data using Optical Flow Methods

Implementation of neural coherent states, arXiv:2105.15193

summary of current machine learning appraoches and optical flow

Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression

Variationally enhanced sampling for single-particle langevin dynamics with neural network bias potentials and path collective variables. Based on OpenMM + PyTorch.

User Guide of the Data Interpolating Variational Analysis (Diva) software tool

This is a complete python package that explores variational methods for 2D image segmentation popularly known as snakes. The package consists of already implemented methods like Chan Vese & Yezzi (mean seperation), Bhattacharya (Probability distribution separation), also, Interactive feedback control approach to snakes

Image partitioning (color/gray/multichannel) based on the piecewise affine-linear Mumford-Shah model (aka the affine-linear Potts model)

Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models

ImageJ and Fiji Plugin for fast, variational 1D alignment of multichannel linescan data

Interactive visualisations for the variational polaron problem with Makie.

Variational Cluster Approximation based on Lanczos exact diagonalization.

An analysis and speedup of the FALDOI method for Optical Flow estimation

Python scripts for trying various data assimilation algorithms with simple toy models

a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy