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README.txt

Welcome to the repository containing various projects and scripts!

This repository contains several independent projects and scripts covering diverse topics like machine learning, natural language processing (NLP), and data analysis.

Project list:

  • Jensen-Shannon Divergence: This project explores and implements the Jensen-Shannon divergence, a measure of similarity between probability distributions.
  • Kullback–Leibler-d: This project implements the Kullback–Leibler divergence, another measure of similarity between probability distributions.
  • arxiv: This script handles downloading and processing scientific papers from the arXiv repository.
  • ballistics: This script explores using GPT for generating ballistic prompts and dialogue.
  • liquid_time_networks: This project includes scripts for training and running Liquid Time Networks.
  • nlp_novelty: This project focuses on measuring novelty in natural language text.
  • nlp_topic: This project provides scripts for topic modeling in NLP tasks.
  • pdf_to_text: This script utilizes pdfminer to extract text from PDF documents and includes a progress bar for improved user experience.
  • pdf_validator: This script validates PDF documents for specific criteria.
  • tf_idvectorizer: This project implements various TF-IDF vectorization techniques for text data.
  • ballisticprojectile_simulation.py: This script simulates the trajectory of a ballistics projectile.

File creation dates:

These dates indicate when the files were initially created in the repository. Updates and additional commits might be present.

  • Jensen-Shannon Divergence: 2 weeks ago
  • Kullback–Leibler-d: 4 months ago
  • arxiv: 1 month ago
  • ballistics: 5 months ago
  • liquid_time_networks: 5 months ago
  • nlp_novelty: Last updated 1 month ago
  • nlp_topic: Last updated 3 weeks ago
  • pdf_to_text: 3 weeks ago
  • pdf_validator: 3 months ago
  • tf_idvectorizer: Created now (most recent commit)
  • LICENSE: 5 months ago
  • ballisticprojectile_simulation.py: 5 months ago

Additional notes:

  • This README is updated dynamically based on the latest commit log.
  • Individual projects might have their own documentation or README files within their directories.
  • Feel free to explore the code and contribute to the projects.

Happy coding!

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An assortment of python programs generated via GPT.

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