Stars
Interactive visualizations of the geometric intuition behind diffusion models.
This repository contains everything you need to become proficient in System Design
Uncertainty Quantification in Julia
Python implementation of MATLAB toolbox "mcmcstat"
UM-Bridge (the UQ and Model Bridge) provides a unified interface for numerical models that is accessible from virtually any programming language or framework.
A simple library for implementing common design patterns.
A collection of learning resources for curious software engineers
Interactive Markov-chain Monte Carlo Javascript demos
Code base for PeriPy, a lightweight, open-source and high-performance package for peridynamic simulations written in Python - a collaboration between Exeter, Cambridge & Turing
A package for Gaussian random field generation in Julia
Multilevel Delayed Acceptance MCMC sampler with finite-length subchains, modern transition kernels and adaptive error modelling.
A collection of design patterns/idioms in Python
Materials for The Alan Turing Institute's Research Software Engineering course
2D-Finite Element Analysis with Python
A framework for Smoothed Particle Hydrodynamics in Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code for a tutorial on Bayesian Statistics by Allen Downey.
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Differentiable, Hardware Accelerated, Molecular Dynamics