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Hi there ๐Ÿ‘‹

Alex's LinkedIn Alex's Github

  • ๐Ÿ”ญ Iโ€™m currently working on recreating Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models with new architectures, as well as A-Fi, a project focused on Time-series prediction and RNNS for predicting stock market prices.
  • ๐ŸŒฑ Iโ€™m currently learning about Transformers, LLMs, and SOTA research in COS 484: Natural Language Processing and COS 485: Neural Networks. On my own, I'm exploring data pipelines with Apache Spark.
  • ๐Ÿ’ฌ Ask me about Neural Networks and their applications to NLP, Computer Vision, and Personal Finance, as well as ultimate frisbee, gaming computers, and the outdoors!
  • ๐Ÿ˜„ Pronouns: He/Him/His

Alex Baroody's Projects

a-fi icon a-fi

A neural network aimed at predicting the movement of stock prices.

cos316-final icon cos316-final

a LFUDA cache in Go. A final project for COS 316: Principles of Computer System Design

graphing-hyperbitbit icon graphing-hyperbitbit

A set of cardinality algorithms and supporting code to graph them. Created as a summer project as a research intern on the HyperBitBit project with Dr. Jรฉrรฉmie Lumbroso and Dr. Robert Sedgewick.

llm-captions icon llm-captions

Research into the ability of Large Language Models like GPT-3 and OPT to caption images using the outputs of State of the Art Object Detection Systems

personal-website icon personal-website

A small website so that people can get to know me! This also allows me to sharpen my CSS and html skills.

readme-formatter icon readme-formatter

Formats text files containing assignment-specific questions to COS126 specifications

rnn-tutorial icon rnn-tutorial

Following a tensor flow tutorial to learn Recurent Neural Networks for Time Series Forecasting.

skin-tone-bias icon skin-tone-bias

Assessing and Mitigating Skin-Tone Bias Using a Convolutional Neural Network

sputnik icon sputnik

Static code review for your Gerrit patchsets. Runs Checkstyle, PMD, FindBugs, Scalastyle, CodeNarc, JSLint for you!

visual-statistics icon visual-statistics

A set of small web based tutorials on Type I and Type II Errors, focused on visuals rather than text. The tutorials can be accessed here.

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