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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.
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- Created by Ross Ihaka, Robert Gentleman
- Released August 1993
Repositories 13,613
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree al…
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linea…
mal - Make a Lisp
mal
docker
lisp
lisp-interpreter
c
java
javascript
python
c-plus-plus
c-sharp
php
ruby
r
swift
bash
makefile
clojure
scala
learn-to-code
webassembly
Assembly
Updated Apr 21, 2019
List of Data Science Cheatsheets to rule the world
Updated Apr 11, 2019
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…
h2o
machine-learning
data-science
deep-learning
big-data
ensemble-learning
gbm
random-forest
naive-bayes
pca
opensource
distributed
multi-threading
java
python
r
hadoop
spark
gpu
automatic
Java
Updated May 1, 2019
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, reg…
An implementation of the Grammar of Graphics in R
A curated list of awesome R packages, frameworks and software.
R
Updated Apr 26, 2019
Easy interactive web applications with R
dplyr: A grammar of data manipulation
R
Updated Apr 30, 2019
Data Science at the Command Line
HTML
Updated Mar 6, 2019
R for data science
R
Updated Apr 25, 2019
Tools to make an R developer's life easier
R
Updated Apr 16, 2019
A general-purpose tool for dynamic report generation in R
R
Updated Apr 19, 2019
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…
machine-learning
data-science
r
python
gradient-boosting-machine
random-forest
deep-learning
xgboost
h2o
spark
R
Updated Sep 15, 2018
An interactive graphing library for R
Dynamic Documents for R
Advanced R: a book
TeX
Updated Apr 30, 2019
中国的Quant相关资源索引
Updated Jan 25, 2019
a curated list of R tutorials for Data Science, NLP and Machine Learning
R
Updated Apr 18, 2018
mlr: Machine Learning in R
machine-learning
data-science
tuning
cran
r-package
predictive-modeling
classification
regression
statistics
r
survival-analysis
imbalance-correction
tutorial
mlr
learners
hyperparameters-optimization
feature-selection
multilabel-classification
clustering
stacking
R
Updated Apr 30, 2019
Graph and network visualization using tabular data in R
R kernel for Jupyter
Jupyter Notebook
Updated Apr 30, 2019
Simple web scraping for R
lists of most popular repositories for most favoured programming languages (according to StackOverflow)
awesome
python
java
c
cpp
nodejs
csharp
php
ruby
typescript
swift
objective-c
vbnet
assembly
r
perl
matlab
golang
scala
haskell
Python
Updated Apr 7, 2019
A curated list of awesome machine learning interpretability resources.
fairness
xai
interpretability
iml
fatml
accountability
transparency
machine-learning
data-science
data-mining
python
r
awesome
awesome-list
machine-learning-interpretability
interpretable-machine-learning
interpretable-ml
interpretable-ai
interpretable-deep-learning
explainable-ml
Updated Apr 9, 2019
A Wes Anderson color palette for R
R
Updated Feb 1, 2019
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.