Pinned Repositories
arrow
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
model-diagnostics
Tools for diagnostics and assessment of (machine learning) models
notebooks
ranger
A Fast Implementation of Random Forests
responsible_ml_material
Material for the lecture Responsible ML
scikit-learn
scikit-learn: machine learning in Python
Tutorial_freMTPL2
Python tutorial for the french motor third party liability 2 dataset
lorentzenchr's Repositories
lorentzenchr/model-diagnostics
Tools for diagnostics and assessment of (machine learning) models
lorentzenchr/responsible_ml_material
Material for the lecture Responsible ML
lorentzenchr/notebooks
lorentzenchr/Tutorial_freMTPL2
Python tutorial for the french motor third party liability 2 dataset
lorentzenchr/scikit-learn
scikit-learn: machine learning in Python
lorentzenchr/credibility
This repo provides Bühlmann-Straub credibility estimation in Python.
lorentzenchr/ranger
A Fast Implementation of Random Forests
lorentzenchr/arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
lorentzenchr/chainladder-python
Actuarial reserving in Python
lorentzenchr/enhancement_proposals
Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications
lorentzenchr/formulaic
A high-performance implementation of Wilkinson formulas for Python.
lorentzenchr/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.
lorentzenchr/glum
High performance Python GLMs with all the features!
lorentzenchr/MetricsWeighted
R package for weighted model metrics
lorentzenchr/numpy
The fundamental package for scientific computing with Python.
lorentzenchr/polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
lorentzenchr/scipy
Scipy library main repository
lorentzenchr/shap
A game theoretic approach to explain the output of any machine learning model.
lorentzenchr/sk_encoder_cv
Benchmarks for different forms of target encoder
lorentzenchr/statsmodels
Statsmodels: statistical modeling and econometrics in Python
lorentzenchr/tensorflow-docs
TensorFlow documentation
lorentzenchr/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