Stars
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Learning in infinite dimension with neural operators.
Class Materials for 47-809 Computational Methods for Economics at Carnegie Mellon
Teaching materials for the DSE 2022 summer school at MIT on Market Design
Expectation operators for Distributions.jl objects
Code for the Spring 2022 heterogeneous-agent macro workshop
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
A unified framework to solve and analyze heterogeneous-agent macro models.
Source for "Exploiting Symmetry in High-Dimensional Dynamic Programming"
Makes Julia reason with equations. General purpose metaprogramming, symbolic computation and algebraic equational reasoning library for the Julia programming language: E-Graphs & equality saturatio…
Bayesian inference with probabilistic programming.
Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.
Interactive error messages for the Julia REPL.
🙊 Subtle and not-so-subtle shell tweaks that will slowly drive people insane.
Build custom model types for estimation.
Service which automates dollar cost averaging with exchange APIs
Cisco Umbrella is spyware, let's break it
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Traces, schematics, and general infos about custom chips reverse-engineered from silicon
The best way to write secure and reliable applications. Write nothing; deploy nowhere.