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Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"
All Algorithms implemented in Python
三 R package: An Inclusive, Unifying API for Progress Updates
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
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:
R package: Convert country names and country codes. Assigns region descriptors.