Considering how to analyse book collections, Large Language Model style
-
Updated
May 25, 2024 - Python
Considering how to analyse book collections, Large Language Model style
Knowledge graph from unstructured text
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
Text Normalizer module use for Bangla as well as English digit convert to textual format, Normalize Date and Extract Date
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
A synthetic data generator for text recognition
A Python program that create a new quiz data for Earthworm Jim 2 Sega Genesis Rom Hack/Modding
Algorithms for outlier, adversarial and drift detection
Metamorph generates new text through repeated translation
Interact, analyze and structure massive text, image, embedding, audio and video datasets
A fast and lightweight pure Python library for splitting text into semantically meaningful chunks.
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
Python MUD/MUX/MUSH/MU* development system
Add a description, image, and links to the text topic page so that developers can more easily learn about it.
To associate your repository with the text topic, visit your repo's landing page and select "manage topics."