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Stanford University
- 390 Jane Stanford Way, Stanford, CA 94305
- https://naras.su.domains
Highlights
- Pro
Stars
Work with local and cloud LLMs from Emacs.
Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
Unofficial Stanford University-themed Beamer, HTML, and RevealJS Extension for Quarto
Guest lectures on data science with R and Python in the web browser with WASM in Stanford University's STATS 352
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
Jupyter notebook client in Emacs
Lean 3's obsolete mathematical components library: please use mathlib4
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Code for a paper on estimation and evaluation of penalized survival models with high dimensional left-truncated and right-censored (LTRC) survival data
evanbiederstedt / RMTstat
Forked from patperry/r-rmtstatAn R package for distributions from random matrix theory
This project converts structured Lean code into an interactive browser game.
Python script for uploading a local mbox file to IMAP4 server.
Toolchains and libraries for R-4.0 to R-4.2 (legacy)
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
PLINK is a free, open-source whole genome association analysis toolset, designed to perform a range of basic, large-scale analyses in a computationally efficient manner. This is a comprehensive upd…
An open API for epidemiological data.
A Python-embedded modeling language for convex optimization problems.
R package to add 'dplyr'-like Syntax for Summary Statistics of Survey Data
This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to im…