Popular GitHub Repositories for Stanford Ner

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

搜索所有中文NLP数据集，附常用英文NLP数据集

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

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

Snips Python library to extract meaning from text

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

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

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

All notes and materials for the CS229: Machine Learning course by Stanford University

该仓库主要记录 NLP 算法工程师相关的面试题

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.

Utilizing Spacy and Tensorflow to train custom Named Entity Recognizers.

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)