Stars
Must-read Papers on Knowledge Editing for Large Language Models.
A repository of links with advice related to grad school applications, research, phd etc
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
A set of media framing annotations, along with scripts for obtaining the corresponding news articles
curated collection of papers for the nlp practitioner 📖👩🔬
A curated list of research papers and resources on code-switching
hydecorp / hydejack
Forked from poole/hydeA boutique Jekyll theme for hackers, nerds, and academics
Our own implementation of Neural Message Passing for Computer Vision paper
Message Passing Neural Networks for Molecule Property Prediction
Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
Pytorch Implementation for Graph Convolutional Neural Networks
Solutions for CS224d: Deep Learning for Natural Language Processing
This is a collection of my book reading notes. Notes taken while reading thesis/review might also be included.
Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis
Vanilla Recursive Neural Network implementation using PyTorch
Start your own digit 8080 al garden using this Jekyll template 🌱
Browser client for the Paperscape map
Everything I ate and coffee I drank during my Tokyo 2019 trip 🍡☕🍛🍙🍱🍢🍜
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback
Goodreads Data Visualization Project for Data 511 @ UW
Explanation by Progressive Exaggeration
CNN training code for iNaturalist 2018 image classification competition
MXNet finetune baseline (res152) for iNaturalist Challenge at FGVC 2017
iNaturalist 2019 at FGVC6 Fine-grained classification spanning a thousand species