字符串地址查询,支持自定义地址词库,解析地址,地址识别,地址抽取,中文地址.
☆94Mar 31, 2021Updated 5 years ago
Alternatives and similar repositories for pyunit-address
Users that are interested in pyunit-address are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NER实体识别模型,快速高效简单一键部署docker部署调用模型。能识别:地址、人名、机构名实体。☆36Jul 26, 2023Updated 3 years ago
- 中文地址分词(地址元素识别与抽取),通过序列标注进行NER☆203May 11, 2020Updated 6 years ago
- 一个简单易用的 Python 模块,用于通过字符串来操作日期/时间。正则时间提取,字符串时间解析,字符串时间提取。中文时间提取,一句话里面提取时间☆79Nov 19, 2025Updated 9 months ago
- 房新数据中文地址分词☆62Jun 19, 2019Updated 7 years ago
- 中文地址解析☆20Mar 30, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Neural Chinese Address Parsing☆124Apr 17, 2019Updated 7 years ago
- 阿里中文地址要素解析☆17Jun 10, 2022Updated 4 years ago
- 借助jieba分词库和与之相关的算法。用于测试对非规范地址的分析、试分词,并进一步设计数据清洗算法 。☆38Dec 12, 2016Updated 9 years ago
- 中文地址解析系统,解析出省市区县名称及ID☆14Oct 5, 2022Updated 3 years ago
- 一个用于提取简体中文字符串中省,市和区并能够进行映射,检验和简单绘图的python模块☆1,795Mar 19, 2024Updated 2 years ago
- 中文地址提取工具,支持中国三级区划地址(省、市、区)提取和映射,支持地址热力图绘制。☆242Nov 1, 2024Updated last year
- 基于TF-IDF余弦相似度的地址语义搜索解析匹配服务☆220Dec 10, 2022Updated 3 years ago
- ☆55Jun 7, 2021Updated 5 years ago
- This is an agent (including contextual prompts) that queries your CSV☆10Jun 8, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Using tensorflow/serving to deploy kashgari model for time training and predicting.☆13Sep 16, 2019Updated 6 years ago
- 地址标准化☆127Dec 10, 2023Updated 2 years ago
- 中文新词发现算法PNW算法,可以识别任意长度的新词。☆16Jul 6, 2023Updated 3 years ago
- “英特尔创新大师杯”深度学习挑战赛 赛道2:CCKS2021中文NLP地址要素解析☆149Nov 29, 2021Updated 4 years ago
- 基于BERT和指针网络构建实体抽取任务☆14Aug 2, 2020Updated 6 years ago
- Ensemble of 10 modified BERT Base models for prediction of best answers for queries on search engines.☆16Jan 1, 2019Updated 7 years ago
- 本项目是NLP领域一些任务的基准模型实现,包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。☆46Mar 2, 2021Updated 5 years ago
- 实现moss int8的finetune和优化源moss项目模型保存问题☆17Jun 1, 2023Updated 3 years ago
- Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresp…☆348Jul 25, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Approximate Graph Propagation☆11Oct 30, 2021Updated 4 years ago
- 无监督文本生成的一些方法☆49Jun 3, 2021Updated 5 years ago
- semantic role labeling based on deep learning, implemented by tensorflow☆16Aug 20, 2018Updated 8 years ago
- 图片性别识别Demo和模型☆10Oct 28, 2020Updated 5 years ago
- Analysis of NYC taxi trip data☆11Dec 5, 2016Updated 9 years ago
- Outlier detection for categorical data☆30Jul 24, 2026Updated last month
- 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☆3,865Jul 29, 2026Updated last month
- 基于BERT的中文命名实体识别(pytorch)☆18Apr 17, 2019Updated 7 years ago
- A Chinese information extraction tool.☆1,128Jun 28, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆31Jun 13, 2019Updated 7 years ago
- Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"☆15Jan 15, 2023Updated 3 years ago
- ☆12Sep 23, 2022Updated 3 years ago
- [Big Data Analytics]Analyzing relationship between changes in weather and its impact on the city taxis☆13Apr 29, 2017Updated 9 years ago
- GTS Engine: A powerful NLU Training System。GTS引擎(GTS-Engine)是一款开箱即用且性能强大的自然语言理解引擎,聚焦于小样本任务,能够仅用小样本就能自动化生产NLP模型。☆92Feb 28, 2023Updated 3 years ago
- ☆23May 30, 2019Updated 7 years ago
- Code for "SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition", accepted at COLING 2022.☆12Nov 25, 2022Updated 3 years ago