David Matthews's repositories
awesome-machine-learning-engineering
A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning engineering.
An-Introduction-to-Python
A full, interactive, introduction the Python programming language.
d18s.github.io
Personal homepage.
dev-setup
Mac OS X development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults. https://bit.ly/git-dotfiles
kappa
What precedes Lambda
lib
Library of useful commands and functions for a variety of languages.
mlflow
Open source platform for the complete machine learning lifecycle
prelude
Prelude is an enhanced Emacs 24 distribution that should make your experience with Emacs both more pleasant and more powerful.
Scikit-Examples
A collection of machine learning examples using scikit-learn.
scopt
simple scala command line options parsing
spark
Mirror of Apache Spark
spark-csv
CSV data source for Spark SQL and DataFrames
tdigest
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark