A Python interface to parallel data assimilation framework - pyPDAF
-
Updated
Aug 8, 2024 - Cython
A Python interface to parallel data assimilation framework - pyPDAF
Machine learning algorithms for many-body quantum systems
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
UFL - Unified Form Language
Next generation FEniCS Form Compiler for finite element forms
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"
Parallel Data Assimilation Framework
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
A Python implementation of Monge optimal transportation
User Guide of the Data Interpolating Variational Analysis (Diva) software tool
Weather routing via variational methods
Implementation of the Variational Method for Quantum Mechanics in python.
Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models
A GUI for the Variational_Principle repository in PyQT
Variationally enhanced sampling for single-particle langevin dynamics with neural network bias potentials and path collective variables. Based on OpenMM + PyTorch.
Variational Cluster Approximation based on lanczos exact diagonalization.
Add a description, image, and links to the variational-method topic page so that developers can more easily learn about it.
To associate your repository with the variational-method topic, visit your repo's landing page and select "manage topics."