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.
PmapProgressMeter.jl
A simple wrapper that allows pmap to report results using the ProgressMeter package.
ChromNet.jl
Integrates any BAM/BED file into the ChromNet group graphical model.
ShapleyValues.jl
Explain any function output additively with Shapley values.
LightGBM
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.
SimplePlot.jl
A collection of clean plotting methods for easy Julia figures.
category_encoders
A library of sklearn compatible categorical variable encoders
ESValues.jl
Expectation Shapley (ES) values
PureSeq.jl
Code for the Pure-seq project
SimplePlotPerf.jl
A collection of performance plotting routines based on SimplePlot.
StreamingTimeSeries.jl
Time series manipulation written in a streaming paradigm
aurelia-polymer
Aurelia plugin to support Polymer
ChromNet.js
ChromNet web client front end.
docker-python
Kaggle Python docker image
METADATA.jl
Metadata for registered Julia packages.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
shap-feedstock
A conda-smithy repository for shap.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
XGBoost.jl
Julia XGBoost Interface