Michael98Liu
NYUAD Global PhD Fellow in Computer Science advised by @talalrahwan and @bedoor | ACM-ICPC 2020 World Finalist | Social Data Science | Quantitative Research
New York University Abu DhabiAbu Dhabi, UAE
Michael98Liu's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
dr5hn/countries-states-cities-database
🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities
py-why/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.
pykeen/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
pliang279/awesome-phd-advice
Collection of advice for prospective and current PhD students
dwcoder/QuantitativePrimer
An Interview Primer for Quantitative Finance
csurfer/rake-nltk
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
zhezhaoa/ngram2vec
Four word embedding models implemented in Python. Supporting arbitrary context features
amit-sharma/causal-inference-tutorial
Repository with code and slides for a tutorial on causal inference.
AnacletoLAB/grape
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
gesiscss/awesome-computational-social-science
A list of awesome resources for Computational Social Science
mattbierbaum/arxiv-public-datasets
A set of scripts to grab public datasets from resources related to arXiv
hendrycks/apps
APPS: Automated Programming Progress Standard (NeurIPS 2021)
Aniruddha-Deb/quant-prep
Quant prep resources/logs
SciSciCollective/pyscisci
Science of Science
dalejn/cleanBib
Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries
jwieting/charagram
Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
SugiharaLab/pyEDM
Python package of EDM tools
eduardoleao052/Autograd-from-scratch
Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
shufinskiy/nba_data
NBA play-by-play data from stats.nba.com, data.nba.com, pbpstats.com, and also shots information with season 1996/97
Didayolo/ranky
Compute rankings in Python.
MELALab/nela-gt
Repository for the NELA dataset
rubingshen/AugmentedSocialScientist
A package to easily train Bert-like models for text classification
zijwang/genderperformr
PyTorch-based Pre-trained Gender Performance Classifier of the EMNLP 2018 paper "It's going to be okay: Measuring Access to Support in Online Communities"
alexisbellot/Synthetic-Controls-in-Continuous-Time
Policy Analysis using Synthetic Controls in Continuous-Time
greenelab/iscb-diversity
Analyzing diversity of ISCB keynote speakers & fellows compared to the field of bioinformatics
alexeygrigorev/codeforces-crawler
Crawls submissions from codeforces
greenelab/wiki-nationality-estimate
Name-based nationality prediction trained on Wikipedia
benradford/estimating-conflict-losses
Replication archive for Radford, Dai, Stoehr, Schein, Fernandez, & Sajid (2023), "Estimating Conflict Losses and Reporting Biases," in PNAS.
jonghyuklee/ml_cpc
Database for Machine-learning Analysis on Elite Selection in the Communist Party of China