bretttolbert /verbecc

proycon/pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

huggingface/transformers🔥 active

▲ +358 ★ this week

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

d2l-ai/d2l-zh

▲ +206 ★ this week

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

explosion/spaCy

▲ +18 ★ this week

💫 Industrial-strength Natural Language Processing (NLP) in Python

eugeneyan/applied-ml

▲ +99 ★ this week

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

srbhr/Resume-Matcher🔥 active

▲ +115 ★ this week

The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.