Mixed-effects models in R using S4 classes and methods with RcppEigen

Normalizing flows in PyTorch

Sequential Monte Carlo in python

Computations and statistics on manifolds with geometric structures.

This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.

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 ;)

Python Toolkit for Causal and Probabilistic Reasoning

Uniform Manifold Approximation and Projection

Probabilistic Modeling Toolkit for Matlab/Octave.

Fast, flexible and easy to use probabilistic modelling in Python.

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

a project to visualize global weather conditions

netCDF Operators

ECMWF's GRIB and BUFR decoding/encoding library

Lua, Fortran and Python implementations of MAOOAM: the Modular Arbitrary-Order Ocean-Atmosphere Model

Unified Complex Network and Recurrence Analysis Toolbox

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

A collection of resources on modern C++

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

Semantic Versioning Specification

Minimalist alternatives to "best practices" paper

🍻 awesome cheatsheet

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Computer vision assisted tool to extract numerical data from plot images.

Creates spectrum generators for supersymmetric and non-supersymmetric models