Pinned Repositories
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
CMDA-capstone_PresentationIsFun
Make presentation using R Markdown
conformal
Tools for conformal inference in regression
DataScienceWorkshop2019
Data Science Workshop 2019
gam
:exclamation: This is a read-only mirror of the CRAN R package repository. gam — Generalized Additive Models
glmnet_python
GSAM
Additive Models for High Dimensional Data
heatoncomparison
Code for Heaton et al (in JABES, 2018)
iml
:exclamation: This is a read-only mirror of the CRAN R package repository. iml — Interpretable Machine Learning. Homepage: https://github.com/christophM/iml Report bugs for this package: https://github.com/christophM/iml/issues
scp
R Package for Spatial Conformal Prediction
mhuiying's Repositories
mhuiying/scp
R Package for Spatial Conformal Prediction
mhuiying/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
mhuiying/CMDA-capstone_PresentationIsFun
Make presentation using R Markdown
mhuiying/conformal
Tools for conformal inference in regression
mhuiying/DataScienceWorkshop2019
Data Science Workshop 2019
mhuiying/gam
:exclamation: This is a read-only mirror of the CRAN R package repository. gam — Generalized Additive Models
mhuiying/glmnet_python
mhuiying/GSAM
Additive Models for High Dimensional Data
mhuiying/heatoncomparison
Code for Heaton et al (in JABES, 2018)
mhuiying/iml
:exclamation: This is a read-only mirror of the CRAN R package repository. iml — Interpretable Machine Learning. Homepage: https://github.com/christophM/iml Report bugs for this package: https://github.com/christophM/iml/issues
mhuiying/keras
Deep Learning for humans
mhuiying/neural-tangent-kernel-UCI
Testing Nerual Tangent Kernel (NTK) on small UCI datasets
mhuiying/NeurIPS2019-traffic4cast
sample code for our traffic4cast NeurIPS 2019 competition
mhuiying/RcppArmadillo
Rcpp integration for Armadillo templated linear algebra library
mhuiying/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
mhuiying/RStudioConf2020Slides
Links to slides for rstudio::conf 2020
mhuiying/shap
A unified approach to explain the output of any machine learning model.
mhuiying/shap-values
Shap values for model interpretation
mhuiying/sigopt-examples
Optimization Examples with SigOpt
mhuiying/STDN
Code for our Spatiotemporal Dynamic Network
mhuiying/treeinterpreter
mhuiying/waymo-open-dataset
Waymo Open Dataset
mhuiying/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