Lamin's repositories

laminjuwara.github.io

Personal website of Lamin Juwara

Language:HTMLStargazers:2Issues:2Issues:0
Language:RStargazers:0Issues:2Issues:0

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

Language:JavaScriptLicense:MITStargazers:0Issues:1Issues:0

beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0
Language:RStargazers:0Issues:2Issues:0
Language:RStargazers:0Issues:2Issues:0

CSAMA

Course material for CSAMA: Statistical Data Analysis for Genome Scale Biology

Language:HTMLStargazers:0Issues:1Issues:0

metalr

'metalr': R Package for Likelihood Ratio Meta-analysis

Language:RStargazers:0Issues:2Issues:0

shiny-inctools

Shiny applications based on SACEMA ABIE V3

Language:RStargazers:0Issues:2Issues:0
Language:RStargazers:0Issues:2Issues:0

datamicroarray

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

Language:RStargazers:0Issues:1Issues:0

ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

Language:Jupyter NotebookStargazers:0Issues:2Issues:0

logreg

Logistic regression algorithms

Language:MATLABStargazers:0Issues:1Issues:0

MMED-ProjectReport2017-Screening-algorithms

MMED Project on screening algorithms

Stargazers:0Issues:2Issues:0

NumDL-CourseNotes

Course notes for graduate-level class on numerical methods for deep learning

Language:TeXLicense:GPL-3.0Stargazers:0Issues:2Issues:0

PoolNCC-SMMR-2023

R Code for 'Privacy-preserving analysis of time-to-event data under nested case-control sampling' by Juwara et al. (2023), published in Statistical Methods in Medical Research.

Language:RStargazers:0Issues:0Issues:0

privacytutorials

Tutorials on privacy-preserving data analysis

Stargazers:0Issues:2Issues:0

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

License:MITStargazers:0Issues:0Issues:0

shinyjs

Easily improve the user experience of your Shiny apps in seconds

Language:RLicense:AGPL-3.0Stargazers:0Issues:2Issues:0

SmithMartinmodel

Smith martin model simulated in R

Language:RStargazers:0Issues:2Issues:0

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

License:MITStargazers:0Issues:2Issues:0

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

Language:HTMLStargazers:0Issues:0Issues:0

yihui

Personal website of Yihui Xie

Language:HTMLLicense:MITStargazers:0Issues:1Issues:0