Stars
Learning Universal Predictors
A reinforcement learning package for Julia
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
Direct transcription of an optimal control problem and resolution
Model and solve optimal control problems in Julia, both on CPU and GPU.
Julia code for some chapters in Hansen's Econometrics
A toolkit for developing and comparing reinforcement learning algorithms.
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Foundational tooling for handling collections of parameters in models
Stata-like toolkit for data wrangling on Julia DataFrames
Julia framework for energy system models with a focus on multi-period capacity expansion
The technical implementation guide for the tri-departmental price transparency rule.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts