Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assis…

Lightweight, general, scalable C++ library for finite element methods

SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

The ReScience journal. Reproducible Science is Good. Replicated Science is better.

The official repository for the AiiDA code

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Next-Gen Digital Notebook for Physics, Math, and Data Science. Freeware notebook environment for Wolfram Language written in Javascript

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Lightweight OpenGL tool for accurate and flexible finite element visualization

A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.

Curated list of some open source codes employing lattice Boltzmann methods

Log shell-commands and used files. Snapshot executed scripts. Fully automatic.

awesome open list of pointers about open science for software and computational science

A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Electron/X-ray ptychography and tomography/laminography

Main repository for sharing files and documents about OpenDreamKit

Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation

"Introduction to Python" course for future Imperial College London MSc students

Paper Reading