Stars
This github repo will be used for CSCI 394 at Wheaton
RBniCS - reduced order modelling in FEniCS (legacy)
Cy-RSoXS Forward Simulator for Resonant Soft X-Ray Scattering
Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications
Repository for the open-source lethe CFD/DEM/CFD-DEM project
Deep universal probabilistic programming with Python and PyTorch
The code adds a spectral solver capability to the MOOSE ecosystem. It operates on regular orthogonal grids, often used for representative volume elements. This new solver can operate on graphics pr…
Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
Python tool for converting files and office documents to Markdown.
Various mechanics modules for the MOOSE framework
Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets
PUMA a high performance modeling framework to simulate powder processing
A continuum physics code for additive manufacturing built on OpenFOAM
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
A tutorial for the for the Trilinos Software
A template CMake-based C++ project which extends NEML2 for defining custom models
PyTorch implementation of 'Concrete Dropout'
A library for advanced finite element computations in Rust
GPU enabled material modeling and inference library
Fierro is a C++ code designed to aid the research and development of numerical methods, testing of user-specified models, and creating multi-scale models related to quasi-static solid mechanics and…
A coupling library and ecosystem for partitioned multi-physics and multi-scale simulations, including surface and volume coupling.
A demo of Bayesian neural networks, using SVI and HMC.