Leon Zhang (leonz12345)

leonz12345

Geek Repo

Company:Duke University

Location:United States

Home Page:www.linkedin.com/in/leonzhang98

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Leon Zhang's repositories

Algorithmic_Stock_Trading

This repo is for developing state of the art machine learning based stock trading strategies, as well as testing traditional indicators.

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Movie_Recommendation_Web_App

Repo for a movie recommendation web application built using Flask app with CI/CD setup on cloud platform.

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NeuralNetworkDistillation

This repo is about neural network knowledge distillation. We experimented with teacher-student framework, tested the effect of temperature on the distillation performance, reversed distillation and self distilation.

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2020_Duke_Datathon_Winner_Submission

Repo for the winning submission of 2020 Duke Datathon. Performed inference and predictive modeling and forecasting on the economic impact of COVID-19 for different countries.

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Edit_Distance

This repo implements the edit distance algorithm using dynamic programing. The edit distance problem is a popular topic in genome editing.

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Pneumonia_Xray_Detection

Repo for building deep learning architectures in detecting pneumonia disease from lung x-ray images.

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ChemE_Captone

Repo for designing a small-scale modular anhydrous ammonia synthesis process

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Currency_Exchange_Arbitrage_Detection

This repo is for exploiting arbitrage in currency exchanging using the Bellman-Ford algorithm.

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Flight_Booking_System

This repo is a database application for flight booking service that handles transaction and concurrency problem using JDBM and Azure.

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leonz12345.github.io

Repo for Leon's personal website

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Solve_Maze

This repo is about solving maze problem using dfs and bfs.

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Sorting_Algorithms

This repo implements common sorting algorithms including selection sort, insertion sort, bubble sort, merge sort, and quick sort. This repo also evaluates the performance of each algorithm.

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Traveling_Salesman_MST

This repo implements Prim’s and Kruskal’s algorithms for finding minimum spanning trees and use it to approximate the solution for the Traveling Salesman Problem.

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