Lorenzo Flores (Lj)'s repositories
ljyflores.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
loss-library
Python package to plug-and-play loss functions from various NLP papers
simplification-project
Experiments for Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding, EMNLP 2023 Findings
efficient-spelling-normalization-filipino
Experiments for Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Correction in Filipino, Presented in SustaiNLP Workshop, EMNLP 2022
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
debiasing-clinical-summaries
Using GANs, inverse propensity weighting, and heuristics to debias clinical summaries for treatment prediction
distributionally-robust-fake-news-classification
Fake-News Classification Using Distributionally Robust Optimization based on Sagawa et al. (2020)
bayes-for-markov-switching
Python implementation of Markov Switching Model using Bayesian inference (Gibbs Sampling) by Lim et al (2020)
fake-news-adversarial-benchmark
Experiments for An Adversarial Benchmark for Fake News Detection Models, Presented at AdvML Workshop, AAAI 2022
Table-Pretraining
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
facility-location-philippines
Source code for Optimizing health facility location for universal health care: A case study from the Philippines, In PLOS One
data-for-good-hackathon
Data analysis for the UN x Eskwelabs Data for Good hackathon, worked with Arnald Paguio and placed first!
address-to-barangay
Maps addresses to barangays using Google Maps API and shapefiles from PhilGIS for Dengue Census Project
Titanic-Kaggle
Machine learning project: Kaggle dataset
Dengue-Prediction
Predicting dengue on the barangay level with gradient boosting
Typhoon-Analysis
Brief text analysis of Facebook comments from posts of the Philippine weather bureau (PAGASA) from an externship under the Institute of Environmental and Meteorological Sciences, University of the Philippines, 2016
Congress-Representation
Political dynasties, women representation, and party control by province
Stat-Methods
Collection of class projects tackling different statistical methods
Election-Analysis
Files from map visualizations done on Philippine 2013 & 2016 senatorial election results by province (In progress)