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Final project for the Stochastic Numerics class attended in Spring 2019 in RWTH Aachen.
Spectral Tensor Train Parameterization of Deep Learning Layers
code for building cardiovascular models
Repository for creating a new MOOSE based application
taurus library for model order reduction
Test Image Generator
Tools for OpenFOAM developed at Fraunhofer IWES in Oldenburg, Germany
Python package to subdivide tetrahedral meshes in hexahedral meshes, and triangular meshes into quadrilateral meshes.
Public clone of the svn repository of TFEL/MFront
thesis on high performance solvers for contact mechanics
A Python library for isogeometric analysis (IGA) using FEniCS.
Lightweight C/C++ Extended Kalman Filter with Python for prototyping
A library for high-level algorithmic differentiation, principally for models written using FEniCS or Firedrake.
Topology optimization using optimal transport distances
PyTorch-FEniCS interface
Live clone of Trilinos's Git repository (https://software.sandia.gov/trilinos/repositories/publicTrilinos)
Tutorials for the usage of the Uni.lu HPC platform
The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed Neural Network implementation in Tensorflow using Jupyter notebooks.
U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow
Code to run statistical finite element method (statFEM) experiments with Langevin dynamics.
Introduction to Uncertainty Quantification
A python class for scientific visualization of 3D objects with VTK
This repository contains the scripts and code that is required to perform a tDCS uncertainity analysis. Further information will be detailed in the paper "The influence of white matter lesions on the electrical field in transcranial electric stimulation".
Extensible and portable framework primarily for mechanics granular materials. Computation parts are written in c++ parallelized using OpenMP, fully accessible and modifiable from python (ipython console or scripts). Arbitrarily complex scene can be scripted. Qt-based user interface is provided, featuring flexible OpenGL display, inspection of all objects and runtime modification. Parametric preprocessors can be written in pure python, and batch system can be used to drive parametric studies. New material models and particle shapes can be added (in c++) without modifying existing classes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.