Non-invasive pretty printing of R code

Github action for installing and configuring Poetry

🔥Highlighting the top ML papers every week.

Making data lake work for time series

A collection of visual guides to help applied scientists learn causal inference.

Not UFO in the sky, but an ultra fold in Neovim.

worked R examples

R-code to compare some staggered did methods

A terminal spreadsheet multitool for discovering and arranging data

Causal inference methods implemented in Python.

$HOME sweet $HOME

TexLab extension for coc.nvim

Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did

🎓 All things Vim!

Static Code Analysis for R

Python implementations of contextual bandits algorithms

Example models for Stan

Probability and Statistics: a simulation-based introduction. An open-access book.

Bandit algorithms simulations for online learning

Machine learning based causal inference/uplift in Python

A full featured, fast Command Line Argument Parser for Rust

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

A collection of ZSH frameworks, plugins, themes and tutorials.

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Ne…

pytorch implementation of BLP'95

📖Notes and remarks on Machine Learning related papers

An attempt at a C++ tutorial.