shaodiana's Stars
lrberge/fixest
Fixed-effects estimations
amrei-stammann/alpaca
An R-package for fitting glm's with high-dimensional k-way fixed effects
jdingel/DingelNeiman-workathome
"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman
cran/PowerUpR
:exclamation: This is a read-only mirror of the CRAN R package repository. PowerUpR — Power Analysis Tools for Multilevel Randomized Experiments
SMTorg/smt
Surrogate Modeling Toolbox
AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
avehtari/ROS-Examples
Regression and other stories R examples
convoyinc/abayes
Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
dmlc/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, Dask, Flink and DataFlow
upendrak/plantmd
Image-based plant disease prediction using CNNs
microsoft/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.
shap/shap
A game theoretic approach to explain the output of any machine learning model.