Weather routing via variational methods
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Updated
Jun 22, 2023 - Python
Weather routing via variational methods
A GUI for the Variational_Principle repository in PyQT
Interactive visualisations for the variational polaron problem with Makie.
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
Application of VQE algorithm to find the ground energy of a given hamiltonian matrix H with a specifc ansatz and decomposition.
ImageJ and Fiji Plugin for fast, variational 1D alignment of multichannel linescan data
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization
summary of current machine learning appraoches and optical flow
My PhD thesis: Automated Analysis of Time-resolved X-ray Data using Optical Flow Methods
Implementation of neural coherent states, arXiv:2105.15193
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
Toolbox for fast, variational 1D alignment
Image partitioning (color/gray/multichannel) based on the piecewise affine-linear Mumford-Shah model (aka the affine-linear Potts model)
My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark
Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Variational Osmosis for Non-Linear Image Fusion
Variationally enhanced sampling for single-particle langevin dynamics with neural network bias potentials and path collective variables. Based on OpenMM + PyTorch.
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