Dawie van Lill's repositories
DataScience-871
Data science module for economists written mostly in Julia and R
CompEconNotes
Notes and Julia code for computational economics reading group
CompEconFoundations
Julia replications of Foundations of Computational Economics
data-science-methods
Course material for Data Science Methods for Economics
Econometrics
Econometrics lecture notes with examples using the Julia language
30-seconds-of-python
Short Python code snippets for all your development needs
Dynare.jl
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
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.
COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
DataScience871-Test
This is a test repo for the data science module
DifferenceEquations.jl
Making a difference with math. Or solving differences.
doom-emacs
An Emacs framework for the stubborn martian hacker
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.
Julia-DataFrames-Tutorial
A tutorial on Julia DataFrames package
lecture-julia.myst
Lecture source for "Quantitative Economics with Julia"
lecture-python.myst
Migration to Myst (Source files for https://python.quantecon.org)
MachineLearningRG
Python code for the Machine Learning reading group
MATH50003NumericalAnalysis
Notes and course material for MATH50003 Numerical Analysis (2022–2023)
mcxs-slides
Lecture slides for Macroeconometrics
pluto-static-export
Export static pluto notebooks
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
QuantEcon.jl
Julia implementation of QuantEcon routines
StateSpaceModels.jl
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
statsmodels
Statsmodels: statistical modeling and econometrics in Python
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course