DawievLill
Economics lecturer at Stellenbosch University in South Africa. I am interested in computational macroeconomics, Bayesian methods and deep learning.
Stellenbosch UniversityStellenbosch, South Africa
Pinned Repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
CompEconFoundations
Julia replications of Foundations of Computational Economics
CompEconNotes
Notes and Julia code for computational economics reading group
data-science-methods
Course material for Data Science Methods for Economics
DataScience-871
Data science module for economists written mostly in Julia and R
DawievLill
Dynare.jl
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
Econometrics
Econometrics lecture notes with examples using the Julia language
Macro-318
Julia code for an upper level undergraduate macroeconomics course.
AdvancedTimeSeries-872
Bayesian methods for time series analysis with code in Julia
DawievLill's Repositories
DawievLill/advanced-time-series
DawievLill/AddaAndCooper
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
DawievLill/AdvBayesLearnCourse
Course material for the PhD course in Advanced Bayesian Learning
DawievLill/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
DawievLill/Comparison-Programming-Languages-Economics
A Comparison of Programming Languages in Economics
DawievLill/CompEcon.jl
Julia versions of the CompEcon routines by Miranda and Fackler.
DawievLill/CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
DawievLill/CoursePack
course website
DawievLill/cs4220-s20
Public material for Cornell CS 4220, Spring 2020
DawievLill/DataFrames
Welcome to DataFrames.jl with Bogumił Kamiński
DawievLill/EC524W20
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
DawievLill/ECON622_2019
DawievLill/financial-frictions
Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".
DawievLill/HANKPY
Code for solving HANK models in continuous time in Python using numba and UMFPACK
DawievLill/jprobml
Julia code for Probabilistic Machine Learning
DawievLill/julia_notebooks
Julia Jupyter/Colab Notebooks
DawievLill/JuliaAcademyMaterials
Assets and Infrastructure for JuliaAcademy.com
DawievLill/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
DawievLill/McKayLectureCodes
DawievLill/Parallel_Computing
DawievLill/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
DawievLill/PRML-1
PRML algorithms implemented in Python
DawievLill/PRMLT
Matlab code for machine learning algorithms in book PRML
DawievLill/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
DawievLill/rethinking2
DawievLill/sarbcurrent
DawievLill/sarbpandas
DawievLill/SolveDSGE.jl
A Julia package to solve DSGE models
DawievLill/spring-2020
Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods
DawievLill/sta-663-2020