shaodiana

shaodiana's Stars

• lrberge/fixest

  Fixed-effects estimations

  Language:R37359

• amrei-stammann/alpaca

  An R-package for fitting glm's with high-dimensional k-way fixed effects

  Language:R436

• jdingel/DingelNeiman-workathome

  "How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

  Language:Stata10080

• cran/PowerUpR

  :exclamation: This is a read-only mirror of the CRAN R package repository. PowerUpR — Power Analysis Tools for Multilevel Randomized Experiments

  Language:R3

• SMTorg/smt

  Surrogate Modeling Toolbox

  Language:Jupyter Notebook666200

• AllenDowney/ThinkBayes2

  Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

  Language:Jupyter Notebook1.8k1.5k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k26.2k

• avehtari/ROS-Examples

  Regression and other stories R examples

  Language:HTML320256

• convoyinc/abayes

  Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.

  Language:R218

• 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

  Language:C++26.1k8.7k

• upendrak/plantmd

  Image-based plant disease prediction using CNNs

  Language:Python71

• 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.

  Language:C++16.5k3.8k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.4k3.2k