yhliu2022 Goto Github PK

associative_diffusion

belief-propagation

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bertweet

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

bivariateshapley

causal-network-embeddings

Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"

causal-text-embeddings-tf2

Tensorflow 2 implementation of Causal-BERT

cf-gnnexplainer

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

climpact

Calculate the ET-SCI climate extremes indices

congress

Public domain data collectors for the work of Congress, including legislation, amendments, and votes.

context

An R package for estimating and doing statistical inference on context-specific word embeddings.

covid-19_unified-dataset

Unified COVID-19 Dataset

css

css course materials from adam pah

data-police-shootings

The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since 2015.

data-wrangling-pandas

Workshop instructions, data, and other materials for the Data Wrangling in Python workshop hosted by JHU Data Services

debiasmulticlasswordembedding

NAACL 2019 (Oral): Code for "Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings"

decagon

Graph convolutional neural network for multirelational link prediction

dig

A library for graph deep learning research

discourse_atoms

How are topics encoded in semantic space? Repository to accompany PNAS article: https://www.pnas.org/doi/10.1073/pnas.2108801119

doubleml-for-py

DoubleML - Double Machine Learning in Python

doubleml-for-r

DoubleML - Double Machine Learning in R

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

earnings_call_analyzed_by_nlp

Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls transcripts.

earnings_calls_nlp

This repository includes our work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

embedding_impressions

Replication data and code for Joseph & Morgan, ACL 2020

embeddingdynamicstereotypes

embeddingspaper

Paper and related materials for Rodriguez & Spirling (JOP, 2022) word embeddings overview and assessment

embeddingspaperreplication

Replication files for Rodriguez & Spirling (forthcoming) word embeddings overview and assessment.