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R

R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.

Here are 18,743 public repositories matching this topic...

apache / spark

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Apache Spark - A unified analytics engine for large-scale data processing

python java r scala sql big-data spark jdbc

Updated Jul 20, 2020
Scala

oracle / graal

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GraalVM: Run Programs Faster Anywhere 🚀

javascript ruby python c java vm r polyglot

Updated Jul 19, 2020
Java

dash

plotly / dash

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Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Updated Jul 18, 2020
Python

microsoft / LightGBM

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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.

microsoft python machine-learning data-mining r parallel distributed kaggle accuracy gbdt gbm lightgbm gbrt decision-trees gradient-boosting

Updated Jul 19, 2020
C++

facebook / prophet

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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

python r forecasting

Updated Jul 15, 2020
Python

FavioVazquez / ds-cheatsheets

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List of Data Science Cheatsheets to rule the world

python r programming spark jupyter datascience cheatsheet

Updated Oct 31, 2019

kanaka / mal

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mal - Make a Lisp

Updated Jul 12, 2020
Assembly

catboost / catboost

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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

python data-science machine-learning data-mining tutorial r big-data gpu cuda kaggle gbdt gbm gpu-computing decision-trees gradient-boosting coreml catboost categorical-features

Updated Jul 20, 2020
C++

h2oai / h2o-3

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Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Updated Jul 19, 2020
Jupyter Notebook

tidyverse / ggplot2

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An implementation of the Grammar of Graphics in R

r visualisation data-visualisation

Updated Jul 13, 2020
R

qinwf / awesome-R

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A curated list of awesome R packages, frameworks and software.

data-science list awesome r rstats data-analysis awesome-list

Updated Jul 18, 2020
R

rstudio / shiny

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Easy interactive web applications with R

r reactive web-development shiny rstudio web-app

Updated Jul 19, 2020
R

tidyverse / dplyr

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dplyr: A grammar of data manipulation

r grammar data-manipulation

Updated Jul 17, 2020
R

nteract / papermill

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📚 Parameterize, execute, and analyze notebooks

python r scala jupyter pipeline notebook julia nteract publishing notebooks notebook-generator

Updated Jul 6, 2020
Python

data-science-at-the-command-line

jeroenjanssens / data-science-at-the-command-line

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Data Science at the Command Line

python linux bash cli unix data-science ggplot2 r book bookdown gnuplot

Updated Jul 13, 2020
HTML

hadley / r4ds

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R for data science: a book

data-science r book bookdown

Updated Jul 19, 2020
R

r-lib / devtools

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Tools to make an R developer's life easier

r package-creation

Updated Jul 10, 2020
R

yihui / knitr

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A general-purpose tool for dynamic report generation in R

r rmarkdown knitr literate-programming sweave dynamic-documents

Updated Jul 15, 2020
R

thuquant / awesome-quant

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中国的Quant相关资源索引

python finance machine-learning r statistics trading cpp china quant

Updated May 14, 2020

rstudio / rmarkdown

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Dynamic Documents for R

markdown r pandoc rmarkdown literate-programming r-package

Updated Jul 19, 2020
R

szilard / benchm-ml

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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine

Updated Aug 19, 2019
R

ropensci / plotly

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An interactive graphing library for R

javascript webgl ggplot2 r shiny plotly data-visualization rstats r-package d3js

Updated Jun 26, 2020
R

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome machine learning interpretability resources.

python data-science machine-learning data-mining awesome r awesome-list transparency fairness accountability interpretability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated Jul 13, 2020

hadley / adv-r

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Advanced R: a book

r programming book bookdown

Updated Jul 14, 2020
TeX

BayesWitnesses / m2cgen

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Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies

Updated Jul 19, 2020
Python

ujjwalkarn / DataScienceR

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a curated list of R tutorials for Data Science, NLP and Machine Learning

data-science text-mining r datascience

Updated Apr 18, 2018
R

mlr-org / mlr

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Machine Learning in R

data-science machine-learning cran tutorial r statistics clustering regression feature-selection tuning classification survival-analysis r-package hyperparameters-optimization predictive-modeling imbalance-correction mlr learners stacking multilabel-classification

Updated Jul 14, 2020
R

mGalarnyk / datasciencecoursera

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Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

python data-science r jhu-coursera john-hopkins-coursera stanford

Updated Jul 15, 2020
HTML

microsoft / forecasting

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Time Series Forecasting Best Practices & Examples

python machine-learning r deep-learning time-series best-practices jupyter-notebook tidyverse artificial-intelligence forecasting lightgbm retail prophet hyperparameter-tuning demand-forecasting automl model-deployment azure-ml dilated-cnn

Updated Jul 17, 2020
Python

netgusto / nodebook

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Nodebook - Multi-Lang Web REPL + CLI Code runner

Updated Jul 19, 2020
Go

Created by Ross Ihaka, Robert Gentleman

Released August 1993

Website: www.r-project.org
Wikipedia: Wikipedia

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