Stars
Tools for estimating causal effects for multivariate continuous exposures
Notes and reproducible code for the 'Docker for R' useR-2022 conference workshop
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Determine system requirements from R packages using the RStudio Package Manager. This is a weekend project, not a real package, so please think twice before using it for anything serious.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Learn more about me at my personal GitHub page!
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
R packages for selecting important interactions via regularization
tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.
An R-focused pipeline toolkit for reproducibility and high-performance computing
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
Don't just present; interact with your audience!
University of Sydney theme for xaringan (remark.js)
Password protect a static HTML page, decrypted in-browser in JS with no dependency. No server logic needed.
Slides, Code, and Links to Resources from "Docker for the User," delivered at nyhackr 2018-07-11
🎡 A playground of enhancements and extensions for xaringan slides.
📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
These are the supporting materials for a deep learning workshop developed by Evan Carey.
🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures
Slides and other materials from presentations at the LA East R User Meetup