There are 0 repository under variational-method topic.
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
A Python implementation of Monge optimal transportation
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
Interface to run Diva software tool (spatial interpolation).
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
variPEPS -- Versatile tensor network library for variational ground state simulations in two spatial dimensions
CFD solve on a current quantum computer
Variational Osmosis for Non-Linear Image Fusion
Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
👀🛡️ Code for the paper “Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2025)
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Implementation of the Variational Method for Quantum Mechanics in python.
Weather routing via variational methods
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
Advanced Data Assimilation Algorithms and Methods
Toolbox for fast, variational 1D alignment
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
Python scripts for trying various data assimilation algorithms with simple toy models
An analysis and speedup of the FALDOI method for Optical Flow estimation
Interactive visualisations for the variational polaron problem with Makie.
ImageJ and Fiji Plugin for fast, variational 1D alignment of multichannel linescan data
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
Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models
Image partitioning (color/gray/multichannel) based on the piecewise affine-linear Mumford-Shah model (aka the affine-linear Potts model)
Variationally enhanced sampling for single-particle langevin dynamics with neural network bias potentials and path collective variables. Based on OpenMM + PyTorch.
summary of current machine learning appraoches and optical flow
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression