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Memory for AI Agents in 6 lines of code

Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science

Analysis and tools for benchmarking in mlr3 and beyond.

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

A survival analysis interface for Julia

R package for handling linelist data

Fast and lightweight R6 parameter interface

Helper functions for class object-oriented programming in R with an emphasis on R6.

A great intro dataset for data exploration & visualization (alternative to iris).

R6 object-oriented interface for mathematical sets.

Recommended learners for mlr3

Visualizations for mlr3

Case studies using mlr3

Miscellaneous helper functions for mlr3

Dataflow Programming for Machine Learning in R

Probabilistic Learning for mlr3

Extra learners for use in mlr3.

Encapsulated object-oriented programming for R

mlr3: Machine Learning in R - next generation

❗ This is a read-only mirror of the CRAN R package repository. stargazer — Well-Formatted Regression and Summary Statistics Tables

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

A Julia machine learning framework

R6 object-oriented interface for probability distributions.

Automatic conversion of R6 public methods to S3 and S4 methods and functions.

A unified framework for machine learning with time series

Universal 1d/2d data containers with Transformers functionality for data analysis.