Pinned Repositories
guidance
A guidance language for controlling large language models.
category_encoders
A library of sklearn compatible categorical variable encoders
chromNet
Software to build a comprehensive chromatin network model from all public ENCODE data.
ChromNet.jl
Integrates any BAM/BED file into the ChromNet group graphical model.
IntegratedGradients
Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
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.
personal-homepage
PmapProgressMeter.jl
A simple wrapper that allows pmap to report results using the ProgressMeter package.
ShapleyValues.jl
Explain any function output additively with Shapley values.
SimplePlot.jl
A collection of clean plotting methods for easy Julia figures.
slundberg's Repositories
slundberg/IntegratedGradients
Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
slundberg/PmapProgressMeter.jl
A simple wrapper that allows pmap to report results using the ProgressMeter package.
slundberg/ChromNet.jl
Integrates any BAM/BED file into the ChromNet group graphical model.
slundberg/ShapleyValues.jl
Explain any function output additively with Shapley values.
slundberg/personal-homepage
slundberg/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.
slundberg/SimplePlot.jl
A collection of clean plotting methods for easy Julia figures.
slundberg/category_encoders
A library of sklearn compatible categorical variable encoders
slundberg/interpret
Fit interpretable models. Explain blackbox machine learning.
slundberg/setGPU
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
slundberg/woe
Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
slundberg/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
slundberg/ESValues.jl
Expectation Shapley (ES) values
slundberg/PureSeq.jl
Code for the Pure-seq project
slundberg/scipy
Scipy library main repository
slundberg/SimplePlotPerf.jl
A collection of performance plotting routines based on SimplePlot.
slundberg/slundberg.github.io
slundberg/StreamingTimeSeries.jl
Time series manipulation written in a streaming paradigm
slundberg/aurelia-polymer
Aurelia plugin to support Polymer
slundberg/ChromNet.js
ChromNet web client front end.
slundberg/code
A new way to code.
slundberg/docker-python
Kaggle Python docker image
slundberg/GLMNet.jl
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
slundberg/METADATA.jl
Metadata for registered Julia packages.
slundberg/MXNet.jl
MXNet Julia Package - flexible and efficient deep learning in Julia
slundberg/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
slundberg/SamIO.jl
A simple reader for SAM and BAM files.
slundberg/shap-feedstock
A conda-smithy repository for shap.
slundberg/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
slundberg/XGBoost.jl
Julia XGBoost Interface