Discover @kmaasrud Open Source projects

Knut Magnus Aasrud (@kmaasrud)

kmaasrud

Stars
7,017
Global Rank 3,500 (Top 0.2 %)
Followers 138
Following 32
Registered over 5 years ago
Most used languages

Python
23.8 %

Rust
23.8 %

CSS
14.3 %

C++
14.3 %

Shell
4.8 %

Markdown 4.8 %

JavaScript
4.8 %

Nix
4.8 %

Lua
4.8 %
Location 🇳🇴 Norway
Country Total Rank 32
Country Ranking

CSS
1

Markdown 1

Nix
16

Rust
50

Python
82

Lua
138

Shell
359

C++
508

JavaScript
773

awesome-obsidian

🕶️ Awesome stuff for Obsidian

oboe

🗄️ A simple tool to convert an Obsidian vault into a static directory of HTML files.

sss

simple static sites

djoc

the djot document compiler

fdrd

wiki

My personal Zettelkasten

wsh

Get Wikipedia summaries from the command line

reg-resample-fys-stk4155

OLS, Ridge and Lasso regression, along with resampling techniques like cross-validation and the bootstrap. Part of the course FYS-STK4155 at University of Oslo

dotfiles

My system configuration

djot.rs

Djot command line parser in Rust

vmc

Variational Monte Carlo solver for fermionic systems

solar-system-fys3150

Exploring a numerical Newtonian model for the solar system. Part of the course FYS3150 at University of Oslo

kmaasrud.github.io

My little piece of the world wide web

nvim

My Neovim config

vmc-fys4411

Variational Monte Carlo solver for bosonic systems, written in Rust. Part of the course FYS4411 at University of Oslo

cnn-fys-stk4155

Analyzing the Fashion-MNIST dataset and the AI face mask detection dataset, using convolutional neural networks and logistic regression. Part of the course FYS-STK4155 at University of Oslo

tdma-fys3150

Comparing a special algorithm for solving tridiagonal matrix equations to a general linear solver. Part of the course FYS3150 at University of Oslo

ising-fys3150

Analyzing a 2D ferromagnetic crystal, utilizing the Ising model, computed with the Metropolis Monte Carlo algorithm. Part of the course FYS3150 at University of Oslo

gq-mcm-fys3150

Exploring Gaussian-Quadrature and the Monte Carlo method as ways of solving a six dimensional integral. Part of the course FYS3150 at University of Oslo

ffnn-fys-stk4155

web-components