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/18337
18.337 - Parallel Computing and Scientific Machine Learning
DawievLill/adv-r
Advanced R: a book
DawievLill/AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
DawievLill/comp-econ-sp19
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)
DawievLill/DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
DawievLill/Dolo.jl
Economic modeling in Julia
DawievLill/dsbook
Repository for data science book
DawievLill/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
DawievLill/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
DawievLill/EconPDEs.jl
Solve semi-linear parabolic PDEs
DawievLill/FastAI.jl
Port of FastAI V2 API to Julia
DawievLill/fastbook
The fastai book, published as Jupyter Notebooks
DawievLill/Hands-on-Design-Patterns-and-Best-Practices-with-Julia
Hands-On Design Patterns with Julia, published by Packt
DawievLill/HARK
Heterogenous Agents Resources & toolKit
DawievLill/IntroToJulia
A Deep Introduction to Julia for Data Science and Scientific Computing
DawievLill/JuliaTutorial
Julia Tutorial for Finance and Econometrics Students
DawievLill/JuliaTutorials
Learn Julia via interactive tutorials!
DawievLill/jupyter-book
Build interactive, publication-quality documents from Jupyter Notebooks
DawievLill/Knet.jl
Koç University deep learning framework.
DawievLill/Labs
Labs for the Foundations of Applied Mathematics curriculum.
DawievLill/lectures
Lecture notes for EC 607
DawievLill/MLJ.jl
A Julia machine learning framework
DawievLill/prml
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
DawievLill/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
DawievLill/rethinking2
DawievLill/SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
DawievLill/sequence-jacobian
Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".
DawievLill/tsa-notebooks
Jupyter notebooks on time series econometrics topics.
DawievLill/Turing.jl
Bayesian inference with probabilistic programming.
DawievLill/TuringTutorials
Educational material and tutorials for the Turing language