Minhwa Lee (mimn97)

mimn97

Geek Repo

Location:Saint Paul, MN

Home Page:https://mimn97.github.io/

Twitter:@minhwa__lee

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Minhwa Lee's repositories

Accenture-WritingLLM

UMN-Accenture joint research for Human-AI Collaborative Writing

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articles

Code, data and other artifacts for Chuck's technical articles.

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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BERT-Image-Captioning

Final Project for COMPSCI 682 Neural Networks @ UMass Amherst

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Chatbot-CS310

Final Project for CS 310 - Machine Intelligence

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gender_power

Gender and Power Dynamics in Latin Narratives [Course Project @ Responsible AI F23]

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handson-ml3

Jupyter Notebooks for Hands-on ML (3rd edition)

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pantry-research

Code Repository for the preprint "Socio-geographic Accessibility in Food Pantry Accessibility in the U.S." (Zhang and Lee et al, 2024)

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Senior-IS-Thesis

Implementation of "Statistical & ML Approaches to Depression in the U.S."

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Tracking-AITrends

Repository for my MSFT internship project "Tracking AI/ML Trends Using NLP". Note that only codes are available (Data is private).

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IV-Methods

A final project for the course Probability & Statistics II in Fall 2019

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leetcode-study

my leetcode study log (blind 75, neetcode)

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MentalHealth-Tech

A final project for the course Mathematical Modeling in Spring 2019

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mimn97.github.io

Personal Webpage

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MLOps-Basics

My study guide for MLOps

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nlp-phd-global-equality

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

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nlp-tutorial

Forked - Natural Language Processing Tutorial for Deep Learning Researchers

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Numerical-Analysis

A final project for the course Numerical Analysis in Spring 2020

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Research-Kelvey

A Python program for implementation of a research by Dr. Robert Kelvey in the Department of Mathematics

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STEM-Workforce-Analysis

A final project for Data Visualization Course in Spring 2020

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TextRankerJS

TextRankerJS is a fully client-side JavaScript tool for ranking texts generated by different methods. Designed for human annotation studies, it offers an intuitive drag-and-drop interface, pagination, and local storage for data persistence.

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transformer-pytorch

A Pytorch implementation of Transformers (Attention is All You Need, 2017)

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

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