Thanks to visit codestin.com
Credit goes to Github.com

Skip to content
View gpizzorno's full-sized avatar
4 followers · 0 following

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@DALME @Harvard-DSSG @harvard-digital-history

Block or report gpizzorno

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
gpizzorno/README.md

👋 Hi, I’m Gabe Pizzorno

I work at the intersection of AI, machine learning, NLP, and history, developing computational methods to extract, model, and analyze cultural and historical data.

🌐 Bio • ✉️ Email

Skills & Interests

Python
Machine Learning
Natural Language Processing
AI
Data Science

Pinned Loading

  1. DALME/DALME-Online-Database DALME/DALME-Online-Database Public

    A digital environment designed to facilitate the extraction, analysis, and publication of material culture information from textual primary sources.

    Python 8 3

  2. rules-based-entity-extraction rules-based-entity-extraction Public

    This codebase provides a pipeline for extracting unnamed entities from Medieval Latin texts by combining rule-based resources and a machine learning chunker trained on custom features. It supports …

    HTML 1

  3. course-scheduling-optimization course-scheduling-optimization Public

    This repository outlines a programmatic solution to the problem of course scheduling under institutional constraints. By modeling the problem as a MIP and carefully constructing the cost matrix, it…

    Jupyter Notebook

  4. baudot-murray-CCIR476-demo baudot-murray-CCIR476-demo Public

    Demo workflow for digitally decoding Baudot-Murray/CCIR 476 encoded teleprinter tape from microfilm images using computer vision techniques.

    Jupyter Notebook

  5. conllu_tools conllu_tools Public

    A Python toolkit for working with CoNLL-U files, Universal Dependencies treebanks, and annotated corpora.

    Python 2