Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control

A next-gen SQP & barrier solver for nonlinearly constrained optimization

open-source Sn software

VERA common input processor

Useful PWR tools for the Python API of OpenMC

Convert VERA PWR benchmarks to OpenMC models

Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)

FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

An OpenSn application for inverse problems

Boosting the training of physics informed neural networks with transfer learning

A library for scientific machine learning and physics-informed learning

Program feconv is an utility to convert between several mesh and FE field formats, like ANSYS mesh files (.msh), MD Nastran input files (.bdf), I-Deas Universal (.unv), VTK files (.vtk), etc. If yo…

Adaptive discrete empirical interpolation method

Matlab implementations of Gaussian processes and other machine learning tools.

This repository contains material of the BMS Summer School Mathematics of Deep Learning

Summer 2020 reading group on uncertainty quantification

Python Data Science Handbook: full text in Jupyter Notebooks

Tutorial on Gaussian Processes

Deep jointly-informed neural networks -- as easy-to-use algorithm for designing/initializing neural nets

Deep learning with cats (^._.^)

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning