Beixi Chen

@bessiechen2022

Beixi Chen 暂无简介

bchen372@gatech.edu
Beixi Chen的个人主页
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关注的仓库(18)

    Watch Beixi Chen/bessie_foodie_shop

    The goal of this project is to build a fully functional e-commerce website platform using a monolithic architecture design.

    最近更新: 2年多前

    Watch Beixi Chen/Ngx_2022

    This project implements a high-concurrency, multi-threaded server with outstanding performance and stability.

    最近更新: 2年多前

    Watch Beixi Chen/DBServer2022

    This project has developed a cross-platform (Linux and Windows) MySQL and Redis server using C++. The server implements user login, registration, modification, and update data functions.

    最近更新: 2年多前

    Watch Beixi Chen/HighConcurrency2022

    A high-concurrency server framework written in C++ that supports cross-platform usage (Linux/Windows).

    最近更新: 2年多前

    Watch Beixi Chen/High_Frequency_Trading_Platform

    At present, the CTP high-frequency quantitative trading platform only involves the basic functions, which include reading account configuration information, CTP penetration regulatory testing, account

    最近更新: 2年多前

    Watch Beixi Chen/Protocol_Stack2022

    This project aims to reproduce a simple network protocol stack, including ARP protocol, IP protocol, ICMP protocol, UDP protocol and time server, TCP protocol, and HTTP server components.

    最近更新: 2年多前

    Watch Beixi Chen/Fat32FileSystem_2022

    This is a FAT32 file system developed on the Windows platform, it is implemented layer by layer from the bottom up: driver layer, partition and FAT32 parsing, file operations and buffer management.

    最近更新: 2年多前

    Watch Beixi Chen/x86Linux_2022

    Implementing the Linux 0.11 kernel on the x86 architecture, completing the development of several submodules: bootloader/kernel loader/interrupt and exception handling/process scheduling...

    最近更新: 2年多前

    Watch Beixi Chen/Reinforcement-Learning-and-Desicion-Making

    This project contains three experiments on reinforcement learning. For instance, it demonstrates how to apply the DQN to the Lunar Lander environment and how DDQN can obtain better performance.

    最近更新: 接近3年前

    Watch Beixi Chen/Algorithmic-Portfolio-Management-in-R-programming-language

    The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course implements volatility and price forecasting models, asset pricing and factor models, and portfolio optimization. The course will apply machine learning techniques, such as backtesting (cross-validation) and parameter regularization (shrinkage).

    最近更新: 3年多前

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