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Fine-tuning, running inference, and evaluating LLMs using TorchTune on UW's Tillicum.
Learning material for a course on getting started with data modeling using AI and machine learning.
Code for project analyzing Medicare utilization and outcomes following billion dollar weather disasters
Materials for D4 Tutorial on Accessing Census and ACS Data in R & Python
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
Open-source framework for rapid development of modern, interoperable digital health applications on iOS devices
This repository contains the Text as Data workshop in Fall 2024
This is the public repository for my quarter long text as data course
Materials for a NICAR 2020 workshop on advanced Census data with Python
Issues and Research around People Experiencing Homelessness in King County Working Group
A topic-centric list of HQ open datasets.
The material presented here is for the 4-week summer course Network Analysis I in Summer, 2017 for the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program.
A curated list of awesome network analysis resources.
PAA 2023 Workshop "Introduction to Social Media and Big Data for Migration Studies"
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 graphic…
LERT: A Linguistically-motivated Pre-trained Language Model（语言学信息增强的预训练模型LERT）
Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo