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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

onnx

Open standard for machine learning interoperability

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

tutorials

Tutorials for creating and using ONNX models

reticulate

R Interface to Python

pke

Python Keyphrase Extraction module

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

lintr

Static Code Analysis for R

targets

Function-oriented Make-like declarative workflows for R

tidymodels

Easily install and load the tidymodels packages

styler

Non-invasive pretty printing of R code

rpy2

Interface to use R from Python

ggeasy

ggplot2 shortcuts (transformations made easy)

precommit

pre-commit hooks for R projects

MatchIt

R package MatchIt

quarto-r

R interface to quarto-cli

correlationfunnel

Speed Up Exploratory Data Analysis (EDA)

pythresh

Outlier Detection Thresholding

distributions3

Probability Distributions as S3 Objects

dataxray

An interactive table interface for data summaries

digitize

A R package to extract data from scatterplots

savvy

A simple R extension interface using Rust

prqlc-r

R Bindings for the prqlc

bonsai

parsnip wrappers for tree-based models

onnx-r

R Interface to Open Neural Network Exchange (ONNX)

sloe-logistic

logistic-bias-reduction

Bias reduction techniques for logistic regression models

glmhd

An R package to estimate the inflation and variance of MLE from a high-dimensional binary regression