High performance Python GLMs with all the features!

Create explorable explanations and interactive essays.

A model-agnostic visual debugging tool for machine learning

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line applica…

A unified framework for machine learning with time series

Open source time series library for Python

Rcpp for everyone

Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

A Python package for manipulating 2-dimensional tabular data structures

On top of spaghetti, all covered in cheese....

Source for the Unofficial Rcpp API Documentation

Turn your R code into a web API.

Fast svmlight reader and writer

Fast and efficient computation of rolling and expanding statistics for time-series data.

Automated feature extraction in Python

Free monospaced font with programming ligatures

machine learning and deep learning tutorials, articles and other resources

An R modeling language for convex optimization problems.

Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)

Fast thresholded correlation mattices

Lime: Explaining the predictions of any machine learning classifier

Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

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 al…

Seamless operability between C++11 and Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Command-line interface description language for R (http://docopt.org)

A collection of design patterns/idioms in Python

R kernel for Jupyter

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow