Machine learning algorithms for many-body quantum systems
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Updated
Nov 15, 2024 - Python
Machine learning algorithms for many-body quantum systems
Next generation FEniCS Form Compiler for finite element forms
UFL - Unified Form Language
A Python implementation of Monge optimal transportation
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
Interface to run Diva software tool (spatial interpolation).
Parallel Data Assimilation Framework
Variational Osmosis for Non-Linear Image Fusion
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization
A Python interface to parallel data assimilation framework - pyPDAF
Implementation of the Variational Method for Quantum Mechanics in python.
CFD solve on a current quantum computer
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
Advanced Data Assimilation Algorithms and Methods
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
Weather routing via variational methods
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