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Shawn Jonghyuck Jung's Projects

aco-tsp icon aco-tsp

Solving Travelling Salesman Problem using Ant Colony Optimization

acopy icon acopy

A Python implementation of the Ant Colony Optimization Meta-Heuristic

dataminingnotebooks icon dataminingnotebooks

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

doing_data_science icon doing_data_science

This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)

golfdb icon golfdb

GolfDB is a video database for Golf Swing Sequencing, which involves detecting 8 golf swing events in trimmed golf swing videos. This repo demos the baseline model, SwingNet.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

immuno-oncology icon immuno-oncology

Final term project repository for Business Analytics at MS in Data Science, SMU

isye6501 icon isye6501

Play ground page for EDX ISYE6501, intro to analytics modeling course

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machinelearning icon machinelearning

선형대수와 통계학으로 배우는 머신러닝 with 파이썬

mtsp_aco icon mtsp_aco

multi traveling salesman problem with ant colony optimization

openpar icon openpar

[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

practical-nlp icon practical-nlp

Official Repository for 'Practical Natural Language Processing' by O'Reilly

product_review_triage icon product_review_triage

The repository to show end-to-end ML work from the initial prototyping to production deployment with multiple iterations

rlad-core-simulator icon rlad-core-simulator

Rlad-core is a Reinforcement Learning (RL) based Adaptive Deployment solution, which uses machine learning to scale services. This project is a simple simulator to run the rlad-core library.

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