annajiat Goto Github PK
Name: Annajiat Alim Rasel
Type: User
Twitter: annajiat
Annajiat Alim Rasel's Projects
r-geospatial-fundamentals
This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.
r-intro-geospatial
Introduction to R for Geospatial Data
r-novice-gapminder
R for Reproducible Scientific Analysis
r-raster-vector-geospatial
Introduction to Geospatial Raster and Vector Data with R
r-socialsci
R for Social Scientists
rbxfpsunlocker
FPS Unlocker for Roblox
resume
roblox_steam_launcher
Allows one to have the Steam overlay and Steam Input in Roblox by launching it through Steam.
sbu-external-collaboration
sbu-internal-collaboration
scrapbook
Distributed Integration and Consistency for Knowledge Semantics and Information
sdc-bids-intromri
Introduction to MRI and BIDS
sdsc-summer-institute-2018
SDSC Summer Institute 2018 Teaching Material
sdsc-summer-institute-2019
SDSC Summer Institute 2019 material
sdsc-summer-institute-2020
SDSC Summer Institute 2020 material
shell-novice
The Unix Shell
simpar
SimPar : A macro language for introducing parallel concepts to CS1 students
simple-slides
Simple slide presenter written in HTML5 & JS
softwarecarpentry-usgs-aug2021
Outside class exercise for the Aug 2021 Software Carpentry class
spreadsheets-socialsci
Data Organization in Spreadsheets for Social Scientists
start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
stata-fundamentals
For use in Stata workshops and intensives
styles
Styles for The Carpentries lessons.
survivalofthebestfit
An interactive simulation to explain algorithmic bias.
swc-shell-split-window
Script to split the shell using tmux
taskgroup
Task Group Public Content
tau2
TAU Performance System Public Mirror (Updated every night at midnight, USA Pacific Time)
teaching
tensorflow_tutorial
Practical tutorials and labs for 2-day Deep Learning using TensorFlow workshop organized by Persontyle and NVIDIA Deep Learning Institute
text_analysis_for_social_science
Code for the book on python for social scientists
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