Machine learning algorithms for many-body quantum systems
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Updated
Oct 16, 2025 - Python
Machine learning algorithms for many-body quantum systems
Next generation FEniCS Form Compiler for finite element forms
UFL - Unified Form Language
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
A Python implementation of Monge optimal transportation
Parallel Data Assimilation Framework
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
A Python interface to parallel data assimilation framework - pyPDAF
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
Advanced Data Assimilation Algorithms and Methods
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