Beast code in Giters

Scott Lundberg's repositories

IntegratedGradients

Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Language:Jupyter Notebook9 70

PmapProgressMeter.jl

A simple wrapper that allows pmap to report results using the ProgressMeter package.

Language:JuliaNOASSERTION9 6 3

ChromNet.jl

Integrates any BAM/BED file into the ChromNet group graphical model.

Language:JuliaApache-2.08 3 3

ShapleyValues.jl

Explain any function output additively with Shapley values.

Language:JuliaNOASSERTION8 30

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

Language:C++MIT4 30

SimplePlot.jl

A collection of clean plotting methods for easy Julia figures.

Language:JuliaNOASSERTION3 40

category_encoders

A library of sklearn compatible categorical variable encoders

Language:PythonBSD-3-Clause2 20

interpret

Fit interpretable models. Explain blackbox machine learning.

Language:C++MIT2 30

setGPU

Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.

Language:Python2 40

woe

Tools for WoE Transformation mostly used in ScoreCard Model for credit rating

Language:PythonMIT2 20

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

Language:C++NOASSERTION2 40