1regina Goto Github PK

1regina.github.io

aaron-mui

ai4isingaporedatacamp

Notes and exercises from AI4I Sg and DataCamp notes

base-css-bootcamp

basics-beat-that

basics-blackjack

basics-github-practice

basics-scissors-paper-stone

bigfoot_express

inclass exercise

bird_watching

repo to document records of birds watching observations

breast_cancer_classifier

Diagnose if breast mass is malignant or benign

datacamp

DataCamp data-science courses

ecommerce-react_node

MERN Stack React Node Ecommerce from Scratch to Deployment

getprogrammingwithhaskell

Exercises from Get Programming With Haskell by Kurt Will

gf-core

Grammatical Framework core: compiler, shell & runtimes

gf-rgl

Grammatical Framework's Resource Grammar Library (RGL)

gf-ud

Functions to analyse and manipulate dependency trees, as well as conversions between GF and dependency trees. The main use case is UD (Universal Dependencies), but the code is designed to be completely generic as for annotation scheme. This repository replaces the old gf-contrib/ud2gf code. It is also meant to be used in the 'vd' command of GF and replace the supporting code in gf-core in the future.

gfss-2021

Community resources for the GF Summer School 2021

gfsummerschool

projects from GF Summer School

github-practice

Practice Forking & Pull Requests

grammaticalframework_book

Notes and Exercises to Grammatical FrameworkA Programming Language for Multilingual Grammars and Their Applications by Aarne Ranta September 8, 2010

grammaticalframework_rgl

Tutorial, exercises and notes from https://inariksit.github.io/gf/2021/02/15/rgl-api-core-extensions.html#first-concrete and https://github.com/inariksit/rgl-tutorial

grammaticalframework_tutorial

Exercises from https://www.grammaticalframework.org/doc/tutorial/gf-tutorial.html

grammaticalframeworkdemo

Demo test on 14 Aug in GF

haskellbook

Solutions to exercises in HaskellBook.com

haskellbook2020

Exercises from the Haskellbook

haskellbookexercisecodes

Complete up to required chapters

havardcs50

Codes and learning from https://cs50.harvard.edu/x/2020/

item_recommender

Recommender systems using item-based collaborative filtering

jd_insights_-_resume_matcher

Topics in Data Scientist JDs and Tip for resumes