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csc207_virtual_bank_system

This is the main project in University of Toronto's CSC207: Software Design Course. Multiple design patterns and the SOLID principle was incorporated into the design of this project.

csc412-probabilistic-machine-learning-and-reasoning

University of Toronto's CSC412: Probabilitistic Machine Learning Course. In 2020 Winter, it was the same course as STA414: Statistical Methods for Machine Learning II .

csc413-deeplearning-and-neural-networks

University of Toronto's CSC413: Deep Learning and Neural Network Course.

f2023-lab08

f22-rec07

f23-lab02

f23-lab03

f23-lab05

Inheritance and Delegation f23 lab 05

f23-lab06

17-214/514 recitation 06

f23-lab10

f23-lab11

f23-rec09

f23-rec12-fixed

mean-field-game-nash-equilibrium-solver

Implementation of the nash equilibrium solver of a type of mean-field game.

mscf_projects

A collection of all Quantitative Finance Projects done in the CMU MSCF program.

multifactor-backtesting-framework

Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial engineering report. Steps include factor data collection and preprocessing, factor combination, portfolio optimization and risk return analysis.

survey_portfolioselection

Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining, etc. This article aims to provide a comprehensive survey and a structural understanding of published online portfolio selection techniques.

td-rotman-finhub-tdmdal-hackathon

udacity-data-engineering-nanodegree

Completed Udacity's data engineering nano degree. Went through a series of exercises and projects to learn and practice the trendy big data management tools.

udacity_cpp_project_and_exercise

Practiced OOP, memory management and concurrency through completing 5 projects and numerous exercise