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Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

chainladder-python

Actuarial reserving in Python

credibility

This repo provides Bühlmann-Straub credibility estimation in Python.

enhancement_proposals

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

formulaic

A high-performance implementation of Wilkinson formulas for Python.

glum

High performance Python GLMs with all the features!

lightgbm

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 tasks.

metricsweighted

R package for weighted model metrics

model-diagnostics

Tools for diagnostics and assessment of (machine learning) models

notebooks

numpy

The fundamental package for scientific computing with Python.

polars

Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js

ranger

A Fast Implementation of Random Forests

responsible_ml_material

Material for the lecture Responsible ML

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy library main repository

shap

A game theoretic approach to explain the output of any machine learning model.

sk_encoder_cv

Benchmarks for different forms of target encoder

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tensorflow-docs

TensorFlow documentation

tutorial_fremtpl2

Python tutorial for the french motor third party liability 2 dataset

xgboost

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, Flink and DataFlow