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
advanced-time-series
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/DataScience-871
Data science module for economists written mostly in Julia and R
DawievLill/CompEconNotes
Notes and Julia code for computational economics reading group
DawievLill/Macro-318
Julia code for an upper level undergraduate macroeconomics course.
DawievLill/CompEconFoundations
Julia replications of Foundations of Computational Economics
DawievLill/data-science-methods
Course material for Data Science Methods for Economics
DawievLill/DawievLill
DawievLill/Econometrics
Econometrics lecture notes with examples using the Julia language
DawievLill/30-seconds-of-python
Short Python code snippets for all your development needs
DawievLill/Dynare.jl
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
DawievLill/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
DawievLill/bvar
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
DawievLill/COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
DawievLill/DataScience871-Test
This is a test repo for the data science module
DawievLill/DifferenceEquations.jl
Making a difference with math. Or solving differences.
DawievLill/DifferentiableStateSpaceModels.jl
DawievLill/doom-emacs
An Emacs framework for the stubborn martian hacker
DawievLill/fastai
The fastai deep learning library, plus lessons and tutorials
DawievLill/github-classroom-for-teachers
DawievLill/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
DawievLill/Julia-DataFrames-Tutorial
A tutorial on Julia DataFrames package
DawievLill/lecture-julia.myst
Lecture source for "Quantitative Economics with Julia"
DawievLill/lecture-python.myst
Migration to Myst (Source files for https://python.quantecon.org)
DawievLill/MachineLearningRG
Python code for the Machine Learning reading group
DawievLill/MATH50003NumericalAnalysis
Notes and course material for MATH50003 Numerical Analysis (2022–2023)
DawievLill/pluto-static-export
Export static pluto notebooks
DawievLill/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
DawievLill/QuantEcon.jl
Julia implementation of QuantEcon routines
DawievLill/StateSpaceModels.jl
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
DawievLill/statsmodels
Statsmodels: statistical modeling and econometrics in Python
DawievLill/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course