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#

R

r logo

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 37,628 public repositories matching this topic...

ML-For-Beginners

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

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  • Scala

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

  • UpdatedFeb 20, 2026
  • Python
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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.

  • UpdatedFeb 19, 2026
  • C++

List of Data Science Cheatsheets to rule the world

  • UpdatedJul 18, 2024
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⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键部署 👇

  • UpdatedFeb 19, 2026
  • HTML

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.

  • UpdatedFeb 20, 2026
  • C++

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  • UpdatedFeb 20, 2026
  • Jupyter Notebook

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

  • UpdatedSep 3, 2025
  • R

An implementation of the Grammar of Graphics in R

  • UpdatedFeb 4, 2026
  • R

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

  • UpdatedSep 18, 2025
  • R

📚 Parameterize, execute, and analyze notebooks

  • UpdatedJan 5, 2026
  • Python

Easy interactive web applications with R

  • UpdatedFeb 18, 2026
  • R

中国的Quant相关资源索引

  • UpdatedJun 21, 2023

R for data science: a book

  • UpdatedJan 16, 2026
  • R

dplyr: A grammar of data manipulation

  • UpdatedFeb 12, 2026
  • R
wave

Realtime Web Apps and Dashboards for Python and R

  • UpdatedFeb 11, 2026
  • Python
data-science-at-the-command-line

Created by Ross Ihaka, Robert Gentleman

Released August 1993

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Website
github.com/topics/r
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