Pinned Repositories
address-to-barangay
Maps addresses to barangays using Google Maps API and shapefiles from PhilGIS for Dengue Census Project
bayes-for-markov-switching
Python implementation of Markov Switching Model using Bayesian inference (Gibbs Sampling) by Lim et al (2020)
cats4ml
Jupyter notebook for classifying of pictures for Cats4ML
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)
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
facility-location-philippines
Source code for Optimizing health facility location for universal health care: A case study from the Philippines, In PLOS One
fake-news-adversarial-benchmark
Experiments for An Adversarial Benchmark for Fake News Detection Models, Presented at AdvML Workshop, AAAI 2022
loss-library
Python package to plug-and-play loss functions from various NLP papers
fine-grained-lt
Consolidated experiments for simplification projects
ljyflores's Repositories
ljyflores/address-to-barangay
Maps addresses to barangays using Google Maps API and shapefiles from PhilGIS for Dengue Census Project
ljyflores/bayes-for-markov-switching
Python implementation of Markov Switching Model using Bayesian inference (Gibbs Sampling) by Lim et al (2020)
ljyflores/fake-news-adversarial-benchmark
Experiments for An Adversarial Benchmark for Fake News Detection Models, Presented at AdvML Workshop, AAAI 2022
ljyflores/debiasing-clinical-summaries
Using GANs, inverse propensity weighting, and heuristics to debias clinical summaries for treatment prediction
ljyflores/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
ljyflores/loss-library
Python package to plug-and-play loss functions from various NLP papers
ljyflores/cats4ml
Jupyter notebook for classifying of pictures for Cats4ML
ljyflores/facility-location-philippines
Source code for Optimizing health facility location for universal health care: A case study from the Philippines, In PLOS One
ljyflores/distributionally-robust-fake-news-classification
Fake-News Classification Using Distributionally Robust Optimization based on Sagawa et al. (2020)
ljyflores/Congress-Representation
Political dynasties, women representation, and party control by province
ljyflores/data-for-good-hackathon
Data analysis for the UN x Eskwelabs Data for Good hackathon, worked with Arnald Paguio and placed first!
ljyflores/Dengue-Prediction
Predicting dengue on the barangay level with gradient boosting
ljyflores/Election-Analysis
Files from map visualizations done on Philippine 2013 & 2016 senatorial election results by province (In progress)
ljyflores/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!
ljyflores/ljyflores
ljyflores/ljyflores.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ljyflores/Rappler-Hospitals
ljyflores/Rappler-Online-Class
ljyflores/simplification-project
Experiments for Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding, EMNLP 2023 Findings
ljyflores/Stat-Methods
Collection of class projects tackling different statistical methods
ljyflores/Table-Pretraining
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
ljyflores/Titanic-Kaggle
Machine learning project: Kaggle dataset
ljyflores/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