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

GraalVM: Run Programs Faster Anywhere 🚀

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

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.

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

List of Data Science Cheatsheets to rule the world

mal - Make a Lisp

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.

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

An implementation of the Grammar of Graphics in R

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

Easy interactive web applications with R

📚 Parameterize, execute, and analyze notebooks

dplyr: A grammar of data manipulation

Data Science at the Command Line

R for data science: a book

Tools to make an R developer's life easier

A general-purpose tool for dynamic report generation in R

中国的Quant相关资源索引

Dynamic Documents for R

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.).

A curated list of awesome machine learning interpretability resources.

An interactive graphing library for R

Advanced R: a book

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies

a curated list of R tutorials for Data Science, NLP and Machine Learning

Time Series Forecasting Best Practices & Examples

Machine Learning in R

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Nodebook - Multi-Lang Web REPL + CLI Code runner