lorentzenchr

Christian Lorentzen's starred repositories

scikit-learn

scikit-learn: machine learning in Python

Language:PythonBSD-3-Clause58997 2142 11031

polars

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

Language:RustNOASSERTION28211 161 8136

numpy

The fundamental package for scientific computing with Python.

Language:PythonNOASSERTION27180 598 12609

duckdb

DuckDB is an analytical in-process SQL database management system

Language:C++MIT21092 199 4709

arrow

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

Language:C++Apache-2.013985 353 25235

scipy

SciPy library main repository

Language:PythonBSD-3-Clause12757 348 10161

LaTeX-Workshop

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

Language:TypeScriptMIT10445 57 3005

interpret

Fit interpretable models. Explain blackbox machine learning.

Language:C++MIT6152 145 438

datafusion

Apache DataFusion SQL Query Engine

Language:RustApache-2.05632 104 4695

dplyr

dplyr: A grammar of data manipulation

Language:RNOASSERTION4710 247 4980

ibis

the portable Python dataframe library

Language:PythonApache-2.04647 83 2982

ranger

A Fast Implementation of Random Forests

Language:C++767 42 424

formulaic

A high-performance implementation of Wilkinson formulas for Python.

Language:PythonMIT321 10 102

glum

High performance Python GLMs with all the features!

Language:PythonBSD-3-Clause292 15 295

tabmat

Efficient matrix representations for working with tabular data

Language:PythonBSD-3-Clause106 14 83

resample

Randomization-based inference in Python

Language:PythonBSD-3-Clause72 4 51

missRanger

R package "missRanger" for fast imputation of missing values by random forests.

Language:RGPL-2.059 9 35

Weed-AI

A repository and interchange format for weed identification annotation

Language:PythonMIT52 9 384

enhancement_proposals

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

Language:PythonBSD-3-Clause48 40 20

ml_lecture

intro to ML

Language:Jupyter Notebook26 6 1

model-diagnostics

Tools for diagnostics and assessment of (machine learning) models

Language:PythonMIT22 2 35

flashlight

Machine learning explanations

Language:RGPL-2.022 4 31

neurtu

Interactive parametric benchmarks in Python

Language:PythonBSD-3-Clause16 3 7

confintr

R package for calculation of standard and bootstrap confidence intervals

Language:RGPL-2.013 3 6

outForest

Outlier detection based on random forest models

Language:RGPL-2.012 4 5

MetricsWeighted

R package for weighted model metrics

Language:RGPL-2.011 4 10

covid

Analyses on COVID-19

Language:Jupyter Notebook300

car_registrations

Swiss car registrations per model visualized as bar race chart

Language:R100

random_forest_benchmark

Benchmark for random forests

Language:RGPL-3.01 20