Christian Lorentzen's repositories
model-diagnostics
Tools for diagnostics and assessment of (machine learning) models
responsible_ml_material
Material for the lecture Responsible ML
Tutorial_freMTPL2
Python tutorial for the french motor third party liability 2 dataset
scikit-learn
scikit-learn: machine learning in Python
credibility
This repo provides Bühlmann-Straub credibility estimation in Python.
arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
chainladder-python
Actuarial reserving 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.
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.
glum
High performance Python GLMs with all the features!
MetricsWeighted
R package for weighted model metrics
numpy
The fundamental package for scientific computing with Python.
polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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
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