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The Top 398 Learning R Open Source Projects

Lightgbm ⭐ 14,058
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.
dependent packages 352total releases 29most recent commit 11 hours agopypi lightgbm} Downloads
Ds Cheatsheets ⭐ 10,620
List of Data Science Cheatsheets to rule the world
most recent commit 2 months ago
H2o 3 ⭐ 5,933
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.
dependent packages 30total releases 229most recent commit 17 hours ago
Awesome Machine Learning Interpretability ⭐ 2,421
A curated list of awesome machine learning interpretability resources.
most recent commit 7 months ago
Esl Cn ⭐ 2,011
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
most recent commit 9 days ago
Data Science Best Resources ⭐ 1,968
Carefully curated resource links for data science in one place
most recent commit 22 days ago
Mlr ⭐ 1,576
Machine Learning in R
dependent packages 36total releases 22most recent commit 4 days ago
Datasciencer ⭐ 1,497
a curated list of R tutorials for Data Science, NLP and Machine Learning
most recent commit 4 years ago
Sparklyr ⭐ 873
R interface for Apache Spark
dependent packages 26total releases 46most recent commit 10 hours ago
Mlpb ⭐ 697
Machine Learning Problem Bible | Problem Set Here >>
most recent commit 3 years ago
Mlr3 ⭐ 672
mlr3: Machine Learning in R - next generation
dependent packages 31total releases 23most recent commit 3 days ago
Book_sample ⭐ 592
another book on data science
most recent commit 3 years ago
R ⭐ 551
Collection of various algorithms implemented in R.
most recent commit 2 months ago
Faster ⭐ 489
Fast Lane to Learning R!
most recent commit 23 days ago
Iml ⭐ 459
iml: interpretable machine learning R package
dependent packages 3total releases 12most recent commit 4 days ago
Knitr Examples ⭐ 425
A collection of knitr examples
most recent commit a month ago
Modeltime ⭐ 390
Modeltime unlocks time series forecast models and machine learning in one framework
dependent packages 11total releases 20most recent commit 6 days ago
User Machine Learning Tutorial ⭐ 386
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
most recent commit 4 years ago
Dbplyr ⭐ 371
Database (DBI) backend for dplyr
dependent packages 97total releases 16most recent commit 11 hours ago
Gwu_data_mining ⭐ 215
Materials for GWU DNSC 6279 and DNSC 6290.
most recent commit 2 years ago
Statistical Learning ⭐ 206
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
most recent commit 5 years ago
Lares ⭐ 205
R Library for Analytics and Machine Learning
dependent packages 1total releases 10most recent commit 13 days ago
Sharing_isl_python ⭐ 188
An Introduction to Statistical Learning with Applications in PYTHON
most recent commit 7 months ago
Homlr ⭐ 188
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
most recent commit 3 years ago
Healthcareai R ⭐ 183
R tools for healthcare machine learning
most recent commit 2 years ago
Rbooks ⭐ 147
A curated list of #rstats books
most recent commit 5 years ago
Pipelearner ⭐ 131
Tidy machine learning pipelines
most recent commit 5 years ago
Dl Keras Tf ⭐ 119
rstudio::conf(2020) deep learning workshop
most recent commit 3 years ago
Rtemis ⭐ 118
Advanced Machine Learning and Visualization
most recent commit 17 hours ago
Mlr3pipelines ⭐ 117
Dataflow Programming for Machine Learning in R
most recent commit 2 months ago
Applied Machine Learning ⭐ 117
A step-by-step guide to get started with Applied Machine Learning
most recent commit 4 years ago
Tidyselect ⭐ 108
A backend for functions taking tidyverse selections
most recent commit 8 hours ago
Pragmaticai ⭐ 103
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
most recent commit 4 months ago
Ml Email Code ⭐ 102
This repository contains all code examples in Machine Learning for Email, by Drew Conway and John Myles White.
most recent commit 11 years ago
Kaggle Code ⭐ 95
A repository for some of the code I used in kaggle data science & machine learning tasks.
most recent commit 10 months ago
Azureml Sdk For R ⭐ 94
Azure Machine Learning SDK for R
total releases 3most recent commit 6 months ago
Sl3 ⭐ 90
💪 🤔 Modern Super Learning with Machine Learning Pipelines
most recent commit 5 months ago
Hardhat ⭐ 88
Construct Modeling Packages
dependent packages 21total releases 11most recent commit 2 months ago
Lifecycle ⭐ 78
Manage the life cycle of your exported functions and arguments
dependent packages 143total releases 4most recent commit 10 hours ago
Ds_resources ⭐ 78
Data Science Resources
most recent commit a year ago
Bike_predict ⭐ 74
A demo of an end-to-end machine learning pipeline, using RStudio Connect
most recent commit 2 months ago
Autokeras ⭐ 71
Package: R Interface to AutoKeras
total releases 2most recent commit 2 years ago
R For Data Science Lunchbreak Lessons ⭐ 68
Source files for the LinkedIn Learning Course
most recent commit 15 days ago
Mltools ⭐ 66
Exploratory and diagnostic machine learning tools for R
dependent packages 4total releases 8most recent commit a year ago
Doubleml For R ⭐ 65
DoubleML - Double Machine Learning in R
total releases 8most recent commit a month ago
Learning Rcpp ⭐ 65
My notes as I learn C++ and Rcpp for fast machine learning in R
most recent commit 5 years ago
Caret Machine Learning ⭐ 62
Practical examples for the R caret machine learning package
most recent commit 5 years ago
Azureml Regression Example ⭐ 59
This repo contains all the code and data necessary to explore non-linear regression using Azure ML.
most recent commit 7 years ago
Machine_learning ⭐ 58
Tutorials/tips on machine learning related topics
most recent commit 6 months ago
Mlstudio ⭐ 58
The ML Studio Package
most recent commit 4 years ago
Data Science Introduction With R ⭐ 57
R 语言数据科学导论 | Data Science Introduction with R
most recent commit a year ago
Dml ⭐ 55
R package for Distance Metric Learning
most recent commit 2 years ago
Tensorflow Book R ⭐ 55
This is the unofficial code repository for Machine Learning with TensorFlow(R).
most recent commit 5 years ago
Spectralgraphtopology ⭐ 53
Learning Graphs from Data via Spectral Constraints for k-component, bipartite, and k-component bipartite graphs
total releases 6most recent commit 5 months ago
Online_r_learning ⭐ 52
Online R learning for applied statistics
most recent commit a month ago
Ai Platform ⭐ 51
An open-source platform for automating tasks using machine learning models
most recent commit 2 years ago
Reinforcementlearning ⭐ 51
This package performs model-free reinforcement learning in R.
most recent commit 2 years ago
Rssl ⭐ 49
A Semi-Supervised Learning package for the R programming language
total releases 5most recent commit 7 months ago
Maltese ⭐ 47
Little R utility package for making time series data more machine learning-friendly
most recent commit 2 years ago
Tplyr ⭐ 47
dependent packages 1total releases 6most recent commit 6 months ago
Liquidsvm ⭐ 45
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s
dependent packages 3total releases 8most recent commit 2 years ago
R4ml ⭐ 45
Scalable R for Machine Learning
most recent commit 4 years ago
Machine Learning With R Third Edition ⭐ 44
Machine-Learning-with-R-Third-Edition, published by Packt
most recent commit 2 months ago
Learntidymodels ⭐ 44
Learn tidymodels with interactive learnr primers
most recent commit 8 months ago
Intromachinelearningwithr ⭐ 43
An Introduction to Machine Learning with R
most recent commit 2 years ago
Xai Iml Sota ⭐ 41
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
most recent commit 8 months ago
Spotify Audio Features Data Experiment ⭐ 41
Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.
most recent commit 5 years ago
Udemyml ⭐ 41
Templates, code and notes for Kirill Eremenko's Machine Learning course
most recent commit 3 years ago
Changepoints ⭐ 40
Bayesian online change point detection and offline learning
most recent commit 3 years ago
Subsemble ⭐ 39
subsemble R package for ensemble learning on subsets of data
most recent commit 7 months ago
Mlrcpo ⭐ 37
Composable Preprocessing Operators for MLR
dependent packages 2total releases 12most recent commit 9 months ago
Sparsebn ⭐ 37
Software for learning sparse Bayesian networks
total releases 5most recent commit 2 years ago
Mikropml ⭐ 36
User-Friendly R Package for Supervised Machine Learning Pipelines
total releases 9most recent commit 22 days ago
R Large Scale ⭐ 35
Materials for RCC workshop, "Large-scale data analysis in R."
most recent commit a year ago
Machine Learning ⭐ 35
🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
most recent commit 3 years ago
Deep Learning Recipes ⭐ 34
R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)
most recent commit 3 years ago
Activelearning ⭐ 34
Active Learning in R
most recent commit 5 years ago
Landmap ⭐ 33
Landmap package for R
dependent packages 1total releases 6most recent commit 2 months ago
Reinforcelearn ⭐ 33
R Package for Reinforcement Learning
total releases 3most recent commit 3 years ago
Easyml ⭐ 33
A toolkit for easily building and evaluating machine learning models.
total releases 3most recent commit a year ago
Learn ⭐ 33
RECON learn: a free, open platform for training material on epidemics analysis
most recent commit 15 days ago
Practical Machine Learning Cookbook ⭐ 32
Code repository for Practical Machine Learning Cookbook, published by Packt
most recent commit 2 months ago
Fasttext ⭐ 31
R package for 'Efficient Learning of Word Representations and Sentence Classification'
most recent commit 11 days ago
Superml ⭐ 30
Build machine learning models in R like using python's scikit-learn library
total releases 8most recent commit 3 months ago
Deepgs ⭐ 30
DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
most recent commit 8 months ago
Machine Learning In R ⭐ 29
This repository contains my ML scripts in R
most recent commit 5 years ago
Starwarsdb ⭐ 29
Relational Data from the Star Wars API for Learning and Teaching
most recent commit a year ago
Ml Simulations ⭐ 28
Animated Visualizations of Popular Machine Learning Algorithms
most recent commit 6 years ago
Learning Probabilistic Graphical Models In R ⭐ 28
Learning Probabilistic Graphical Models in R
most recent commit 2 months ago
Oner ⭐ 28
This R package implements the One Rule (OneR) Machine Learning classification algorithm with enhancements for sophisticated handling of numeric data and missing values together with extensive diagnostic functions.
total releases 5most recent commit 4 years ago
Mlr3keras ⭐ 28
Deep learning for mlr3
most recent commit 4 months ago
Modeltime.gluonts ⭐ 28
GluonTS Deep Learning with Modeltime
most recent commit 8 months ago
Sldm4 H2o ⭐ 27
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
most recent commit 5 years ago
Predicting March Madness ⭐ 27
Machine learning tutorial to create an entry for the Kaggle March Mania contest
most recent commit 3 years ago
Forecasting_with_r_practices ⭐ 27
Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.
most recent commit 4 years ago
Tfhub ⭐ 27
R interface to TensorFlow Hub
most recent commit 8 months ago
Risknetwork ⭐ 26
Risk Network Modeling and Analysis
most recent commit 6 years ago
Mastering Machine Learning With R Second Edition ⭐ 26
Mastering Machine Learning with R, Second Edition by Packt
most recent commit 2 months ago
Paramhelpers ⭐ 26
Helpers for parameters in black-box optimization, tuning and machine learning.
most recent commit 5 months ago
Mlops R Gha ⭐ 25
most recent commit 2 years ago
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