GithubHelp home page GithubHelp logo

nolenhuang's Projects

ai_challenger_2018 icon ai_challenger_2018

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bert_sougou_qa icon bert_sougou_qa

本项目利用keras-bert和tokenizers模块,对BERT进行微调,对搜狗问答数据集实现抽取式问答。

caiss icon caiss

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大,使用方便。欢迎star & fork。Build together! Power another !

ccks-2020 icon ccks-2020

CCKS 2020:新冠知识图谱构建与问答评测(四)新冠知识图谱问答评测

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chineseblue icon chineseblue

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

cnn icon cnn

基于Java实现CNN,并附MNIST和语音(MFCC特征)性别识别示例。

daguan_nlp icon daguan_nlp

“达观杯”NLP算法挑战赛 竞赛成绩:排名前1%(29/2885)

deepie icon deepie

DeepIE: Deep Learning for Information Extraction

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

financial-nlp-intelligent-interaction icon financial-nlp-intelligent-interaction

项目介绍: 智能交互金融智能聊天。具体实现用户在所有关于股票话题的智能问答。其中难点是问题 分类、数据预处理、参数提取。 ☆个人工作: 实现金融智能聊天,实现所有股票问题的精确回答。通过提取通用特征将5亿+条训练语料缩减为10w条,语料内存占用量从10G减少到2M,并将精确度提高98%以上。设计划分股票问题为问股、选股、诊股、百科四个话题。设计利用TF-IDF,无监督训练得到分类。提供可靠稳定的后台服务,利用Redis,合理设计数据存储方式,提高平均查询速度到1秒之内。实现用户和机器人流畅交流。

geocoding icon geocoding

地理编码技术,提供地址标准化和相似度计算。

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.