Machine learning algorithms for many-body quantum systems
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Updated
Aug 6, 2024 - Python
Machine learning algorithms for many-body quantum systems
UFL - Unified Form Language
Next generation FEniCS Form Compiler for finite element forms
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
A Python implementation of Monge optimal transportation
Parallel Data Assimilation Framework
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.
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
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
A Python interface to parallel data assimilation framework - pyPDAF
Code for A Weighted Mini-Bucket Bound for Solving Influence Diagrams (UAI 2019) and Join-Graph Decomposition Bounds for Influence Diagrams (UAI 2018).
Advanced Data Assimilation Algorithms and Methods
User Guide of the Data Interpolating Variational Analysis (Diva) software tool
An analysis and speedup of the FALDOI method for Optical Flow estimation
CFD solve on a current quantum computer
Implementation of the Variational Method for Quantum Mechanics in python.
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Variational Cluster Approximation based on lanczos exact diagonalization.
Weather routing via variational methods
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