Guillaume Dalle

This talk introduces a new package called CoolPDLP.jl, which implements state-of-the-art parallel algorithms for large-scale linear programming.

HMMs are a very useful statistical framework, but existing implementations often limit user creativity.

Automatic Differentiation (AD) is the art of letting your computer work out derivatives for you.

Interfaces.jl is an attempt to solve Julias lack of explicit interface declarations.