Florian Oswald's Projects
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Learn the language basics in this 10-part course.
Repository for paper "Building(s and) cities:Delineating urban areas with a machine learning algorithm", by Dani Arribas-Bel, Miquel-Angel Garcia-Lopez and Elisabet Viladecans
Jupyter notebooks associated with the Algorithms for Optimization textbook
:bar_chart: Methods of Applied Statistics Course Textbook Repository
B-splines and linear approximators in multiple dimensions for Julia
successor to ArmaUtils
analyze survey data for free with the r language and monetdblite
Re-write of ASTInterpreter for julia 0.6+
Julia interface to AWS
Routines for constructing BasisMatrices of different types (Chebyshev polynomials, B-Splines, piecewise linear, complete monomials, Smolyak...)
latex beamer templates
Speed benchmark of Stata and R on common data manipulations
Black-box optimization for Julia
Replication package for Bonhomme Lamadon and Manresa paper, A distributional framework for matched data
Authoring Books and Technical Documents with R Markdown
A minimal book example using bookdown
discussion of Bruneel and Magnac's paper
R tools for work on CASD
Replication Paper