Fast and customizable framework for automatic ML model creation (AutoML)

Master the command line, in one page

Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.

Auto ML for the tidyverse

Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training

🧬 Toolkit for generating various numerical features of protein sequences

R bindings for OpenCV

Extra datasets for torch

Higher Level API for torch

TinyML Cookbook, published by Packt

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Power and Sample Size for (Bio)Equivalence Studies

Learner from package {<package>} for mlr3

Material for the useR2020 tutorial

Docker Image for mlr3

Ordinal Regression for mlr3

Composable Preprocessing Operators for MLR

Multiple Targets for mlr3

Template for using mlr3 with drake

Deep learning for mlr3

pkgdown template package for mlr* packages

a faster arff parser

Forecasting for mlr3

Connector between mlr3 and batchtools

Analysis and tools for benchmarking in mlr3 and beyond.

R package to interface some popular parallelization backends with a unified interface

Cluster analysis for mlr3