Kee Hyun Park (keehyunpark)

keehyunpark

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Company:School of Politics and Global Studies, Arizona State University

Location:Tempe, AZ

Home Page:https://keehyunpark.com

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Kee Hyun Park's starred repositories

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da_case_studies

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

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awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

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geocausal

Causal inference with spatio-temporal data in R

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CommutingZones2020

Scripts to generate 2020 commuting zone delineations and associated reference paper

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federalregister-api-core

Federal Register 2.0 API and Data Importer

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data-exploration

Tutorials for working with Library of Congress collections data

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eurlex-toolbox

Python toolbox to load, parse and process Official Journals of the European Union (EU).

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dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

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codellama

Inference code for CodeLlama models

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music-demixing-challenge-starter-kit

Starter kit for getting started in the Music Demixing Challenge.

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stemroller

Isolate vocals, drums, bass, and other instrumental stems from any song

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SkimPDF

Python script to batch embed Skim notes to PDFs

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alfred-bibtex-citation-picker

Citation picker & lightweight reference manager for BibTeX files, via Alfred.

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llama.cpp

LLM inference in C/C++

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dspy

DSPy: The framework for programming—not prompting—foundation models

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Awesome-Graph-LLM

A collection of AWESOME things about Graph-Related LLMs.

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langchain

🦜🔗 Build context-aware reasoning applications

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pytorch-frame

Tabular Deep Learning Library for PyTorch

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REaLTabFormer

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Learning-Geospatial-Analysis-with-Python-4th-Edition

Code repository for Packt Publishing's "Learning Geospatial Analysis with Python - 4th Edition"

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pyshp

This library reads and writes ESRI Shapefiles in pure Python.

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Learn

Code and data samples from GeospatialPython.com and Books

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KernelFunctions.jl

Julia package for kernel functions for machine learning

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typst

A new markup-based typesetting system that is powerful and easy to learn.

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api

Structured LLM APIs

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