ahojukka5

Dijkstra

dijkstra is a native Python implementation of famous Dijkstra's shortest path algorithm. The implemented algorithm can be used to analyze reasonably large networks. The primary goal in design is the clarity of the program code. Thus, program code tends to be more educational than effective.

FEMSparse.jl

FEMSparse.jl aims to develop fast finite element assembly procedure. Main goal is to utilize threading of multicore computeres in order to calculate global FEM matrices in a efficient way.

gmshparser

gmshparser is a lightweight, 100 % tested and well documented package that aims to reliably parse the Gmsh ascii file format (.msh). The package does not introduce any external dependencies and thus fits well with the needs of your own FEM research code as a small stand-alone package.

JaSSOO

Sudoku solver written in Java. The name JaSSOO comes from "Java Sudoku Solver with Object-Oriented approach". This is a hobby project just for fun, and to learn how to create small yet functioning from all pespective Java projects.

PDEAssembler.jl

PDEAssembles takes a set of partial differential equations and boundary conditions and creates a global assembly M, C, K, f in SparseMatrixCSC format ready for linear system solvers.

react-stackedbarchart

react-stackedbarchart is easy-to-use component which can be used in React applitions to visualize data using stacked bar chart.

Xdmf.jl

The need for a standardized method to exchange scientific data between High Performance Computing codes and tools lead to the development of the eXtensible Data Model and Format (XDMF) . Uses for XDMF range from a standard format used by HPC codes to take advantage of widely used visualization programs like ParaView, to a mechanism for performing coupled calculations using multiple, previously stand alone codes. Xdmf.jl can be utilized to work with Xdmf files in Julia projects.

AbaqusReader.jl

AbaqusReader.jl is a parse for ABAQUS FEM models. It's capable of parsing the geometry accurately, including surface sets, node sets, and other relevant geometrical data used in FEM calculations. Other option is to parse whole model, including boundary conditions, material data and load steps.

JuliaFEM.jl

The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Mortar2D.jl

Mortar2D.jl is a Julia package to calculate discrete projections between non-conforming finite element meshes. The resulting "mortar matrices" can be used to tie non-conforming finite elements meshes together in an optimal way.

ahojukka5/CMake

Mirror of CMake upstream repository

ahojukka5/heffte

Highly Efficient FFT for Exascale

ahojukka5/moose

Multiphysics Object Oriented Simulation Environment

ahojukka5/patientor-backend

Backend code repository to a legendary patientor app

ahojukka5/tdd-mooc-tetris

Exercise for learning Test-Driven Development with the help of predefined tests

ahojukka5/tinytuya

Python module to interface with Tuya WiFi smart devices

ahojukka5/tuni_git_course

ahojukka5/vtk-js

Visualization Toolkit for the Web

ahojukka5/wellness

Superior wellness JavaScript app

ahojukka5/wiitteri

Wanhan ajan Twitter

ahojukka5/AMDGPU.jl

AMD GPU (ROCm) programming in Julia

ahojukka5/backend-demo

just experimenting what is a best way to setup CI/CD/docs for Node/Express backend

ahojukka5/clang-format-lint-action

This action checks if the source code matches the .clang-format file.

ahojukka5/elec-a7151

ahojukka5/FreeTypeAbstraction.jl

A Julian abstraction layer over FreeType.jl

ahojukka5/frontend-demo

A serverless frontend code using JAMStack

ahojukka5/hy-fullstack-part-3

ahojukka5/hy-fullstack-part-4

ahojukka5/hy-fullstack-part-5

ahojukka5/hy-fullstack-part-7

ahojukka5/hy-fullstack-part-8

ahojukka5/LUMI-EasyBuild-contrib

A repository for contributed EasyConfig files that LUMI users can install at their own discretion or use as a starting base for their own build recipes.

ahojukka5/MPI.jl

MPI wrappers for Julia

ahojukka5/OrdinaryDiffEq.jl

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

ahojukka5/PINNBench

ahojukka5/prototype-zne

Zero Noise Extrapolation (ZNE) prototype for error mitigation on the Qiskit Estimator primitive

ahojukka5/pyjuliapkg

Manage your Julia dependencies from Python

ahojukka5/qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

ahojukka5/shelly

A simple go cli to control my Shelly 4PM

ahojukka5/Yggdrasil

Collection of builder repositories for BinaryBuilder.jl