smccawille88 Goto Github PK

atorus-sas-macros

Atorus clinical SAS Programming Macros

camis

camis-onco

Storage of all CAMIS-ONCO material

coursera.cicd.lab

Making Data Science Work for Clinical Reporting: CI/CD Lab

great-tables

Easily generate information-rich, publication-quality tables from Python

llm-powerhouse-a-curated-guide-for-large-language-models-with-custom-training-and-inferencing

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

my_complex_shiny_app_output

ostcda

Open Source Technology in Clinical Data Analysis

project

python-enigma

A simple module which adds Enigma Machine-emulating functionality to your python projects. A pypi release is forthcoming.

radioglobe

resampling-methods-in-sas-viya

Fast, easy resampling methods using the SAS Viya CAS Engine (bootstrap, double-Bootstrap, jackknife)

sas-graphs-clinical-trials-example

Code and data repository for SAS® Graphics for Clinical Trials by Example book

shinylive

Run Shiny on Python and R (compiled to wasm) in the browser

shinyvalidator

Audit your Shiny apps at each commit. Multiple levels of testings are offered: startup and crash tests, performance tests (load test and global code profiling), reactivity audit as well as output tests. All results are gathered in an HTML report uploaded and available to everyone on any CI/CD plaform or RStudio Connect

smccawille88

Config files for my GitHub profile.

submissions-pilot4-webr

Development repository for Pilot 4 WebAssembly Shiny App

test