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1. Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

   Python 440 59

2. A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

   Python 70 13

3. Convert 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."

   Jupyter Notebook 56 18

4. Hayden Housen's solutions to the 2021 PicoCTF Competition

   C 55 44

5. Speaker change detection using SincNet and an LSTM/Transformer

   Jupyter Notebook 58 9

6. Hayden Housen's solutions to the 2021 HackTheBox "Cyber Santa is Coming to Town" Competition

   Python 19 2