ner

Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Snips Python library to extract meaning from text

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,...)

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.

Transformers 库快速入门教程

自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

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)

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

SpanMarker for Named Entity Recognition

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

Pytorch-Named-Entity-Recognition-with-transformers

Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.