R
R is a free programming language and software environment for statistical computing and graphics.
There are 29,266 repositories under r topic.
- ML-For-Beginners
microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Language:Jupyter Notebook 36360 - Language:Scala 32957
- Language:Java 17069
- dashLanguage:Python 16533
facebook / prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Language:Python 14475- 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++ 13831 FavioVazquez / ds-cheatsheets
List of Data Science Cheatsheets to rule the world
- Language:Assembly 8627
catboost / catboost
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.
Language:C 6530- wowchemy-hugo-themes
wowchemy / wowchemy-hugo-themes
🔥 Hugo website builder, Hugo themes & Hugo CMS. No code, build with widgets! 创建在线课程，学术简历或初创网站。
Language:SCSS 6485 h2oai / h2o-3
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.
Language:Jupyter Notebook 5829- metaflowLanguage:Python 5642
curlconverter / curlconverter
Generate code from cURL commands
Language:TypeScript 5535- Language:R 5429
- Language:R 5036
- Language:Python 4707
- Language:R 4680
- Language:R 4096
- Language:R 3501
- data-science-at-the-command-line
jeroenjanssens / data-science-at-the-command-line
Data Science at the Command Line
Language:HTML 3302 - waveLanguage:Python 2919
jphall663 / awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
- ml-workspace
ml-tooling / ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Language:Jupyter Notebook 2565 - Language:R 2464
Time Series Forecasting Best Practices & Examples
Language:Python 2274SciML / DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
Language:Julia 2219- Language:R 2189
- Language:R 2186
- Language:R 2184
BayesWitnesses / m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Language:Python 2102- Language:TeX 2068
mGalarnyk / datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Language:HTML 2047szcf-weiya / ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Language:Jupyter Notebook 1978tirthajyoti / Data-science-best-resources
Carefully curated resource links for data science in one place
szilard / benchm-ml
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.).
Language:R 1836
