- π« I'm currently a student at Cornell University studying computer science.
- π I researched classroom lecture summarization using AI & Machine Learning in high school (More Info)
- π± I'm generally interested in NLP (HHousen/TransformerSum), Computer Vision (HHousen/object-discovery-pytorch), Deep Learning (PyTorch), and machine learning algorithms (Scikit-Learn)
- π© I also compete in cybersecurity competitions: PicoCTF 2019/2021/2022, HTB-CyberSanta-2021, & HackTheBox Writeups
- π¬ Ask me about any of my projects: Repositories & Projects Website
- π Visit me at haydenhousen.com
- π« How to reach me: [email protected]
- π» My terminal setup & configuration: HHousen/dotfiles
π»
Coding
Co-founder & CTO @Sonauto / CS @ Cornell / Previously SWE @vocodedev, ML @AdaSupport / Machine Learning / NLP / Python / PyTorch / Cybersecurity / CTF
- San Francisco
- https://haydenhousen.com
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TransformerSum
TransformerSum PublicModels to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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lecture2notes
lecture2notes PublicConvert lecture videos to notes using AI & machine learning. Code for the research titled "Lecture2Notes: Summarizing Lecture Videos by Classifying Slides and Analyzing Text using Machine Learning."
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speaker-change-detection
speaker-change-detection PublicSpeaker change detection using SincNet and an LSTM/Transformer
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HTB-CyberSanta-2021
HTB-CyberSanta-2021 PublicHayden Housen's solutions to the 2021 HackTheBox "Cyber Santa is Coming to Town" Competition
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