Survival Distribution Container with Flexible Interpolation Methods

Repository for the review paper "Deep Learning for Survival Analysis: A Review"

All Algorithms implemented in Python

R Interface to Torch

Implementations of survival models in R

Extra learners for use in mlr3.

Bayesian analysis + tidy data + geoms (R package)

Case studies using mlr3

三 R package: An Inclusive, Unifying API for Progress Updates

Some useful R-Ladies files 💜 🌍

Bring a real terminal to Sublime Text

Probabilistic Learning for mlr3

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

Dataflow Programming for Machine Learning in R

Code snippets for twitter handle @statsforbios

Package an R workspace and all dependencies as a Docker container

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

An extension of XGBoost to probabilistic modelling

R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html

Data table backend for dplyr

Survival analysis for mlr3

Explanations for survival models

Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices

An R package that makes xgboost models fully interpretable

R's data.table package extends data.frame:

A xaringan / remark js ninja theme

Apply Mapping Functions in Parallel using Futures