Name: Dawie van Lill
Type: User
Company: Stellenbosch University
Bio: Economics lecturer at Stellenbosch University in South Africa. I am interested in computational macroeconomics, Bayesian methods and deep learning.
Location: Stellenbosch, South Africa
Blog: https://dawievanlill.netlify.app/
Dawie van Lill's Projects
Julia Jupyter/Colab Notebooks
Learn Julia via interactive tutorials!
Build interactive, publication-quality documents from Jupyter Notebooks
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.
Koรง University deep learning framework.
Labs for the Foundations of Applied Mathematics curriculum.
Lecture source for "Quantitative Economics with Julia"
Migration to Myst (Source files for https://python.quantecon.org)
Lecture notes for EC 607
Repository for the machine learning reading group
Machine Learning for Economics
Python code for the Machine Learning reading group
Julia code for an upper level undergraduate macroeconomics course.
Course on Macroeconometrics (graduate level)
Notes and course material for MATH50003 Numerical Analysis (2022โ2023)
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Jupyter Notebooks for Miranda and Fackler
A Julia machine learning framework
Nowcasting
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Export static pluto notebooks
Probabilistic Modeling Toolkit for Matlab/Octave.
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
PRML algorithms implemented in Python
Code for Christopher Bishop's book "Pattern Recognition and Machine Learning"
Matlab code for machine learning algorithms in book PRML