Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
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
🎨 ASCII art library for Python
Python MUD/MUX/MUSH/MU* development system
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
Nomic Developer API SDK
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
[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model
A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.
Facilitating the design, comparison and sharing of deep text matching models.
🗣️ Tool to generate adversarial text examples and test machine learning models against them
A sentence segmenter that actually works!
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
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