An open-source, low-code machine learning library in Python

Mastering Shiny: a book

Book about interpretable machine learning

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Ne…

Meta-package for installing/updating mlr3* packages.

Machine Learning in R

A straightforward implementation of EGBM-based Generalized Additive Model

drat repository for mlr3learners

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Code to run simulations for manuscript "Analysis of survival data with non-proportional hazards: A comparison of propensity score weighted methods"

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.

DeepSurv is a deep learning approach to survival analysis.

Trained model and inference code for early triage of critically-ill COVID-19 patients.

Learners from {CoxBoost} for mlr3

Easily Install and Load the 'Tidymodels' Packages

shinyBN: An online application for interactive Bayesian network inference and visualization

Code and Resources for "Applied Machine Learning"

Current version of the SuperLearner R package

A curated list of awesome R packages, frameworks and software.

shinyML is a R package that use h2o and Spark frameworks to easily compare machine learning regression models (published on CRAN in July 2019)

A curated list of amazingly awesome R libraries, resources and package collection.

❗ This is a read-only mirror of the CRAN R package repository. caret — Classification and Regression Training. Homepage: https://github.com/topepo/caret/ Report bugs for this package: https://githu…

❗ This is a read-only mirror of the CRAN R package repository. pec — Prediction Error Curves for Risk Prediction Models in Survival Analysis

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

The R code for running super learner in survival data prediction

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Tool to identify monoallelic expression in polyclonal samples using ChIP-Seq data.

1-day Deep Learning with R workshop at RStudio::conf 2019

METABOlomics LOngitudinal SimUlation Engine. A small package for simulating longitudinal/dynamic metabolomics data based on underlying biological networks.