UFL - Unified Form Language

Next generation FEniCS Form Compiler for finite element forms

Machine learning algorithms for many-body quantum systems

variPEPS -- Versatile tensor network library for variational ground state simulations in two spatial dimensions

A comprehensive Fortran framework for computing nucleon-nucleon scattering phase shifts using variational methods with different potential models.

A Python interface to parallel data assimilation framework - pyPDAF

Key Words: Neural Network, Variational Method, Maximum Flux Path (MFP), Minimum Energy Path (MEP), Minimum Action Path (MAP), High-Dimensional Applications, Ginzburg–Landau Functional, Alanine Dipeptide, gMAM

Variational approximation by Gridap package to resolve T.I.S.E. in Julia

👀🛡️ 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)

Parallel Data Assimilation Framework

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling

Toolbox for fast, variational 1D alignment

Python scripts for trying various data assimilation algorithms with simple toy models

Implementation of the Variational Method for Quantum Mechanics in python.

CFD solve on a current quantum computer

Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.

Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"

FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.

A Python implementation of Monge optimal transportation