Utility package for comparing polars data frames.

A declarative, 🐻‍❄️-native data frame validation library.

MetaLearners for CATE estimation

ONNX-backed array library that is compliant with the Array API standard.

Simplifying conditional Polars Expressions with Python 🐍 🐻‍❄️

Pythonic framework for building ONNX graphs

Quickly match many regexes against a string

Efficient matrix representations for working with tabular data

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

High performance Python GLMs with all the features!

VS Code in the browser

Import C++ files directly from Python!

Microeconometric estimation in Julia

Binscatter ggplot2 extension

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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

C++ tensors with broadcasting and lazy computing