一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

Python interface for igraph

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

A powerful and modular toolkit for record linkage and duplicate detection in Python

Simple PDF text extraction

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索（bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….）

Code for using and evaluating SpanBERT.

Elasticsearch with BERT for advanced document search.

Keras implementation of BERT with pre-trained weights

本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，并使…

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

Rtree: spatial index for Python GIS

Blazing fast framework for fine-tuning similarity learning models

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Python package for performing Entity and Text Matching using Deep Learning.

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

🆔 Examples for using the dedupe library

code of HetGNN

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Code for the paper "Deep Entity Matching with Pre-trained Language Models"

对四种句子/文本相似度计算方法进行实验与比较

implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Inductive relation prediction by subgraph reasoning, ICML'20

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"