qpmnguyen

qpmnguyen's Stars

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python44.5k8331268.5k

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML12.8k143171872

• beamandrew/medical-data

  5.9k336211.1k

• trifectatechfoundation/teach-rs

  A modular, reusable university course for Rust

  Language:Rust3.1k5444158

• posit-dev/positron

  Positron, a next-generation data science IDE

  Language:TypeScript3k343.4k94

• zou-group/textgrad

  TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

  Language:Python2.1k2086176

• hhursev/recipe-scrapers

  Python package for scraping recipes data

  Language:Python1.8k35578559

• csinva/imodels

  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  Language:Jupyter Notebook1.4k2395125

• slowkow/ggrepel

  :round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.

  Language:R1.2k2521595

• lme4/lme4

  Mixed-effects models in R using S4 classes and methods with RcppEigen

  Language:HTML64657742151

• elbersb/tidylog

  Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

  Language:R59295825

• vincentarelbundock/marginaleffects

  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

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• susanathey/causalTree

  Working repository for Causal Tree and extensions

  Language:C4354128152

• therneau/survival

  Survival package for R

  Language:R40018261106

• richfitz/remake

  Make-like declarative workflows in R

  Language:R3402514932

• RamiKrispin/vscode-r

  A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker

  Language:R260151133

• lorenzwalthert/precommit

  pre-commit hooks for R projects

  Language:R258427648

• vincentarelbundock/tinytable

  Simple and Customizable Tables in `R`

  Language:R248731421

• posit-dev/ark

  Ark, an R kernel

  Language:Rust201142815

• vapourlang/vapour

  Typed superset of R

  Language:Go1974734

• wadpac/GGIR

  Code corresponding to R package GGIR

  Language:R1051576863

• marjoleinF/pre

  an R package for deriving Prediction Rule Ensembles

  Language:R5882517

• gforge/forestplot

  Advanced forest plots in R using grid graphics

  Language:R4355415

• shannonpileggi/gtreg

  Regulatory Tables for Clinical Research

  Language:R3741268

• Yu-Group/simChef

  An R package to facilitate PCS simulation studies.

  Language:R2161230

• pharmaverse/examples

  End to end examples of pharmaverse packages for common safety clinical reporting analyses

  Language:R1165011

• ropensci/BaseSet

  Provides classes for working with sets

  Language:R113683

• ajy25/TableMage

  Python package for low-code/no-code data science

  Language:Python9503

• Table1/PilotPower

  Pilot Power is a program to allow research to simulate the implications of using pilot studies to inform research design decisions in experiments.

  Language:R3210

• krlmlr/darn

  Directed Acyclic R Script Networks

  Language:R24371