Stars
Example code to solve DSGE models with occasionally binding constraints
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
JAX implementation of "Gradients without Backpropagation" paper
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
Keras implementation of the constrained monotonic neural networks
A luxury sparse matrix package for Julia
This repository contains the code to generate results from the paper "Artificial Neural Networks to solve dynamic programming problems: a bias-corrected Monte Carlo operator".
Code for the Krusell--Smith model
📈Implementing the ADAM optimizer from the ground up with PyTorch and comparing its performance on six 3-D objective functions (each progressively more difficult to optimize) against SGD, AdaGrad, a…
Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain, by Judd, Maliar, Maliar and Valero
PyTorch Implementation of Variance Reduced Optimization Algorithms -- SARAH and SVRG.
A PyTorch Implementation of Neural IMage Assessment
Step-by-Step Guide to Calculate Distances and Trip Durations using OpenStreetMap
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Simple implementation of the Metropolis-Hastings algorithm for Markov Chain Monte Carlo sampling of multidimensional spaces.
Estimation of heterogeneous agent models using both macro and micro data
High-Resolution Image Synthesis with Latent Diffusion Models
Code for experiments regarding importance sampling for training neural networks
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Chaospy - Toolbox for performing uncertainty quantification.
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Tutorials for the usage of the Uni.lu HPC platform
Data on CO2 and greenhouse gas emissions by Our World in Data