Min-Yen Kan's repositories
GMail-Mail-Merge
Gmail Mail Merge that uses a separate sheet for metadata to control the merge process. Useful for connecting with Google Form output, where responses come in a separate "Responses" sheet.
cs6101-1820
NUS Deep Reinforcement Learning course webpage (CS6101-1820). For Semester II, 2018/2019.
cs6101-1910
NUS Deep Unsupervised Learning course webpage (CS6101-1920). For Semester I, 2019/2020.
nus-scantron-mrq
Scantron Scantools Application and Conversion Profile for Multiple Response Questions for the School of Computing's Scantron Form
aclanthology.info
The software that runs the current version of the ACL Anthology. It's architected as a Rails 3 application running Project Blacklight for faceted navigation and Solr as its search backend. This is the development version.
cs3244-2210
About Course Website for NUS SoC CS3244 Machine Learning (Academic Year 2022–2023, Semester 1)
cs4248-2120
Course Website for NUS SoC CS4248 Natural Language Processing (Academic Year 2021–2022, Semester 2)
cs4248-2020
CS4248 Natural Language Processing Website for Sem II AY 2020/2021 (Sem 2020)
cs6101-1810
Webpage for content for the NUS 2018/2019 (Semester I) Deep Learning for Natural Language Processing
Question-Generation-Paper-List
A summary of must-read papers for Neural Question Generation (NQG)
acl-anthology
Data and software for building the ACL Anthology.
acl2017.github.io
Code for the official ACL 2017 conference website.
BERT-ParsCit
GitHub repo for BERT ParsCit
cs3244-2010
CS3244 Machine Learning Website for Sem I AY 2020/2021
ethics-reading-list
A list of ethics related resources for researchers and practitioners of Natural Language Processing and Computational Linguistics
OKD-Reading-List
Papers for Open Knowledge Discovery
orbital16-bootstrap
[NUS Orbital 2016] Mission Control #1A - Twitter Bootstrap 4
orbital16-scikit
[NUS Orbital 2016] Mission Control 4A/4B - Machine Learning for Newbiews
Paper-List
A reading paper list which is mainted daily
random-exam
Use LaTeX and conditional statements to generate customized exams
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework