jiangnanboy Goto Github PK

followers: 130.0 following: 0.0 repos: 76.0 gists: 0.0

Name: AI

Type: User

Company: HaiJiaTech

Bio: persistence, perseverance, imagination, execution

Location: China

Blog: https://jiangnanboy.github.io

Hi there 👋

🤔 My blog: https://jiangnanboy.github.io
📫 My E-mail: [email protected]

AI's Projects

albert_link_prediction

albert-fc for LP(Link Prediction)，中文实体链接预测

albert_lstm_crf_ner

albert + lstm + crf实体识别，pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)

albert_ner

albert-crf for NER(Named Entity Recognition)，中文实体识别。

albert_re

albert-fc for RE(Relation Extraction)，中文关系抽取

albert_srl

albert-crf for SRL(Semantic Role Labeling)，中文语义角色标注。

智能文本自动处理工具（Intelligent text automatic processing tool）。AutoText的功能主要有文本纠错，图片ocr、版面检测以及表格结构识别等。The main functions of this project include text error correction, ocr, layout-detection and table structure recognition.

bert_ndcg_lp

bert-ndcg for LP(Link Prediction)，链接预测

chatbot

pytorch前馈网络分类预测chatbot

chatbot_chinese

Chinese chatbot for neural machine translation in PyTorch.Including basic seq2seq、seq2seq with attention、pointer generator、seq2seq with cnn and so on.

chinese_sentence_paraphrase

sentence paraphrase

cnn4ie

Chinese Information Extraction Toolkit。中文信息抽取工具。利用CNN各种变体进行实体抽取。

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cppcorrector

CPPCorrector 中文文本纠错工具， Text Error Correction Tool，Spelling Check

data_clear_rule_for_nlp

chinese data cleaning rules

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

doc_ai

这里将paddle中的ocr等模型转为onnx格式，并利用java版深度框架djl加载这些onnx模型进行推理预测尝试。

easykg

deep learning of knowledge graph ，知识图谱深度学习相关技术

edge_trimming_and_distortion_correction_of_document_images

edge trimming and distortion correction of document images

education_knowledge_graph_app

Education knowledge graph(graph display, knowledge point tracking, intelligent question and answer，questions knowledge point prediction)。k12教育学科知识图谱，图谱展示，知识点追踪，智能问答以及题目知识点预测。

entropy_sim

利用熵计算查询与文档的相关性。Entropy is used to calculate the relevance of a query to a document. This program is mainly based on 《Content-based relevance estimation on the web using inter-document similarities》(2012-CIKM).