michaelespero

pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

facets

Visualizations for machine learning datasets

causalml

Uplift modeling and causal inference with machine learning algorithms

hiplot

HiPlot makes understanding high dimensional data easy

computational-thinking

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

stats-illustrations

R & stats illustrations by @allison_horst

Knet.jl

Koç University deep learning framework.

tidybayes

Bayesian analysis + tidy data + geoms (R package)

DrWhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

emmeans

Estimated marginal means

HypothesisTests.jl

Hypothesis tests for Julia

COMS4995-s20

COMS W4995 Applied Machine Learning - Spring 20

LowRankModels.jl

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

rstudio-conf-2019

Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019

Structural-Equation-Modeling-foR-Psychologists

Lesson files used in the Structural Equation Modeling for Psychologists.

regtools

Various tools for linear, nonlinear and nonparametric regression.

MplusAutomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

Matte.jl

Julia-powered dashboards, inspired by Material Design

Introduction_to_Julia_tutorials

These are the jupyter notebooks used for intro tutorials to teach Julia

Data-Wrangling

Teaching material for Summer Institute in Statistics for Big Data Module 1.

processR

XAIatERUM2020

Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020

time-series-h2o-automl-example

Time-series forecasting using H2O's AutoML example

demos

Demos and tutorials for ORIE 4741

All-Modules-Archive

interactionR

An R package for full reporting of effect modification and interaction

A-Hands-on-Workshop-series-in-Machine-Learning-Fall-2019

USC_PLUS668_R

Paramed.jl

Counterfactual mediation analysis

SWB

Build code for Twitter project with SWB