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predsurv.io

prob-stats

Probability and Statistics: a simulation-based introduction. An open-access book.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prodlim

Product limit estimation for survival analysis

projectstanaz

projpred

Projection predictive variable selection

ptcmbc

pyconuk-introtutorial

practical introduction to pandas and scikit-learn via Kaggle problems

pyfactory

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pyslurm

Python Interface to Slurm

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

pythonchallenge

pythonschool

Learning and playing with Python

pywick

High-level batteries-included neural network training library for Pytorch

r-flexclust-feedstock

A conda-smithy repository for r-flexclust.

r-sem

r-sem

r-to-armadillo

Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)

r-travis

Tools for using R with Travis (http://travis-ci.org) in lieu of a website:

r4ds

R for data science

rcgan-pytorch

This is a PyTorch implementation of Recurrent (Conditional) GAN (Esteban et al., 2017)

rcpp

Seamless R and C++ Integration

rcpp4everyone_en

Rcpp for everyone

rcpparmadillo

Rcpp integration for Armadillo templated linear algebra library

rcppnumerical

Rcpp Integration for Numerical Computing Libraries

rcppparallel

High-level functions for parallel programming with Rcpp

recipes

A preprocessing engine to generate design matrices

rethinking

Statistical Rethinking course and book package

retrodesign

Tools for working with Type S (sign) and Type M (magnitude) errors in R

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.