Ordeq simplifies IO and modularizes pipeline logic.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Python package for Model Metric Uncertainty estimation

Chapter on causal inference for *R for Political Data Science: A Practical Guide*

An Intuitive Tutorial to Gaussian Processes Regression

code for deep learning courses

Bayesian Data Analysis course at Aalto

Summaries and minimal implementations of ML / statistics research articles.

🚠 Browser, NodeJs library and command-line tool for handling tube data

Regression and other stories R examples

Applying optimization techniques to the office NFL Survivor Pool

Just draw a bounding box and you can remove the object you want to remove.

Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation

A collection of research papers on decision, classification and regression trees with implementations.

Machine learning algorithms

Common statistical tests are linear models (or: how to teach stats)

Course repo for Applied Natural Language Processing (Spring 2019)

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.

Shiny App for Repeated Measurements Course

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

VIP cheatsheets for Stanford's CS 229 Machine Learning

The Hitchiker's Guide to PyTorch

NYU Deep Learning Spring 2020

Implementing MCMC sampling from scratch in R for various Bayesian models

Data and pipeline for Mortality in Puerto Rico after Hurricane Maria

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

Presentations from meetups and conferences