Stars
R's data.table package extends data.frame:
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
三 R package: An Inclusive, Unifying API for Progress Updates
Tools for making beautiful & useful command line interfaces
Ensemble feature ranking for SuperLearner variable selection
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)
Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
Causal Inference using Bayesian Additive Regression Trees
IVON optimizer for neural networks based on variational learning.
The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…
Resources for Machine Learning Explainability
A GlobalProtect VPN client for Linux, written in Rust, based on OpenConnect and Tauri, supports SSO with MFA, Yubikey, and client certificate authentication, etc.
Downloads and prepares public PDAC data for analysis, and provides some basic tools for this analysis.
Missing value imputation in methylation data R package
Explainable Machine Learning in Survival Analysis
Additional univariate and multivariate distributions