Stars
Experiments with Python imports and unit testing, with tests and modules nested at various levels, and using absolute and relative importing
A Julia Basket of Hand-Picked Krylov Methods
A Fast Active Set Method for Solving Large Non-Negative Least Squares Problems
Some nonnegative least squares solvers in Julia
Load and create NetCDF files in Julia
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia
Central schemes for conservation laws in Python
Public development project of the SPARTA DSMC software package https://sparta.github.io
Ensign is a framework to facilitate dynamical low-rank simulation
Bayesian Inversion Problems with Reduced Order Models augmented by Deep Learning
PICLas is a parallel, three-dimensional PIC-DSMC solver developed cooperatively by the Institute of Space Systems, Institute of Aerodynamics and Gas Dynamics at the University of Stuttgart and the …
Chaospy - Toolbox for performing uncertainty quantification.
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
Intel MKL linear algebra backend for Julia
Non-Negative Least Squares and Quadratic Program solver in Julia
TOML parser implementation for data serialization and deserialization in Fortran
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker format and Tensor Train format.
Docker GNU Fortran, gdb and make over Alpine Linux
Lmod: An Environment Module System based on Lua, Reads TCL Modules, Supports a Software Hierarchy
Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library. Install the netCDF C library first.
Morphological analyzer for Russian and English languages based on neural networks and dictionary-lookup systems.