Functions to access data from Strava's v3 API.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Computing with Python functions.

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-…

Automatic extraction of relevant features from time series:

Emacs client/library for the Language Server Protocol

Dockerized Emacs (GUI)

Edit directly a file on Amazon S3 in CLI

Tramp helm interface for ssh and docker and ‎vagrant

Training Diary

Convert Google Keep notes to Emacs .org files

⛔ ARCHIVED ⛔ Wraps UMAP Algorithm for Dimension Reduction

A game theoretic approach to explain the output of any machine learning model.

A package for making a cookbook and managing recipes with org-mode.

Tools to make an R developer's life easier

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

Multivariate Automatic Differentiation R package

Helper functions for modelling

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

a collection of public data re: CPD officers involved in police encounters

Active learning support for targeted Twitter stream

🔏 Opinionated, typographic-centric ggplot2 themes and theme components

This is my (deprecated) suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. DOWNLOAD {stevetemplates} INSTEAD.

A Fast Implementation of Random Forests

Statistical Inference for Random Forests

Little R utility package for making time series data more machine learning-friendly

An example of how you can deploy a static Flask app on Github pages

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

MobileOrg iPhone App