Natural Language Processing Best Practices & Examples

Facilitating the design, comparison and sharing of deep text matching models.

A synthetic data generator for text recognition

Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

🎨 ASCII art library for Python

Python MUD/MUX/MUSH/MU* development system

Interact, analyze and structure massive text, image, embedding, audio and video datasets

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

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

ClipCascade is a lightweight utility that automatically syncs the clipboard across devices, no key press required.

A menu for pygame (pygame-ce also supported!). Simple, and easy to use

Facilitating the design, comparison and sharing of deep text matching models.

[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model

Text UI colors for Python.

Fast word vectors with little memory usage in Python

🗣️ Tool to generate adversarial text examples and test machine learning models against them

A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.

A sentence segmenter that actually works!

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.