💫 Industrial-strength Natural Language Processing (NLP) in Python
A very simple framework for state-of-the-art Natural Language Processing (NLP)
modest natural-language processing
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
State of the Art Natural Language Processing
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
🦙 Integrating LLMs into structured NLP pipelines
Local-first privacy guard: anonymize your documents before sharing with LLMs.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
A self‑hosted search engine for documents
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Complete TensorFlow NLP Guide 2026: BERT, GPT and LLM Downstream Tasks Explained