Find people, organizations, places, products and other entities in text, then link them to knowledge bases. Includes NER models, entity linking and extraction tools.
ranked by GitHub stars · updated Nov 12, 2026
▲ +120 ★ this week
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.
▲ +64 ★ this week
The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.
▲ +55 ★ this week
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)
▲ +41 ★ this week
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
▲ +22 ★ this week
Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes. Apache-2.0 SDK.
▲ +21 ★ this week
💫 Industrial-strength Natural Language Processing (NLP) in Python
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中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
▲ +21 ★ this week
💫 Industrial-strength Natural Language Processing (NLP) in Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
▲ +3 ★ this week
A very simple framework for state-of-the-art Natural Language Processing (NLP)
modest natural-language processing
▲ +120 ★ this week
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.
▲ +9 ★ this week
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An open source library for deep learning end-to-end dialog systems and chatbots.
▲ +5 ★ this week
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
▲ +22 ★ this week
Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes. Apache-2.0 SDK.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
搜索所有中文NLP数据集，附常用英文NLP数据集
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
▲ +3 ★ this week
中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
▲ +41 ★ this week
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
▲ +3 ★ this week
State of the Art Natural Language Processing
Snips Python library to extract meaning from text
Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法
▲ +1 ★ this week
该仓库主要记录 NLP 算法工程师相关的面试题
👩🏫 Advanced NLP with spaCy: A free online course
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)
Valentin Burkin
💬 17 pages, 2 figures, 4 tables; supplementary material as ancillary file. Code: https://github.com/valburkin/DeidSharp
Warit Sirichotedumrong, Adisai Na-Thalang, Chanakan Wittayasakpan +2
💬 Technical Report. Code, models, and data are available at https://github.com/warit-s/khammoon-segmenter
