R
R is a free programming language and software environment for statistical computing and graphics.
There are 34,712 repositories under r topic.
- ML-For-Beginners
microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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- graalLanguage:Java 18344
- dashLanguage:Python 18326
facebook / prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Language:Python 15643- 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++ 14768 FavioVazquez / ds-cheatsheets
List of Data Science Cheatsheets to rule the world
- Language:Assembly 9219
- wowchemy-hugo-themes
wowchemy / wowchemy-hugo-themes
🔥 Hugo website builder, Hugo themes & Hugo CMS. No code, easily build with blocks! 创建在线课程，学术简历或初创网站。#OpenScience
Language:SCSS 7083 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 7012- metaflowLanguage:Python 6499
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 6187- Language:R 5829
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- data-science-at-the-command-line
jeroenjanssens / data-science-at-the-command-line
Data Science at the Command Line
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- ml-workspace
ml-tooling / ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Language:Jupyter Notebook 2985 jphall663 / awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
- Language:R 2628
Time Series Forecasting Best Practices & Examples
Language:Python 2510SciML / DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Language:Julia 2475BayesWitnesses / 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 2420tirthajyoti / Data-science-best-resources
Carefully curated resource links for data science in one place
- Language:R 2349
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szcf-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 2157mGalarnyk / datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Language:HTML 2127Trusted-AI / AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Language:Python 1988ujjwalkarn / DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
Language:R 1889
