Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

This repo shows how to use SEISCOPE optimization toolbox Fortran code from Python

Finite Elements for Multidisciplinary Optimization

JAX compilation of RDDL description files, and a differentiable planner in JAX.

SLSQP optimizer for Rust

Method of moving asymptote optimizer with Python bindings.

Code for "Gradient-based Design of Computational Granular Crystals", Parsa et al.

A collection of studies on the Facility Layout Problem using various machine learning approaches