驭风计划,自然语言处理: 1.Word2Vec TranE的实现(Text8 Wikidata WordSim353); 2.seq2seq模型--机器翻译(NIST); 3.文本情感分析(Rotten Tomato); 4.预训练语言模型实现与应用(DocRED); 5.司法阅读理解(CAIL 2020); 6.面向疫情相关新闻的社会计算应用(CSDC-News); 7.基于 ChatGLM-6B 的本地论文知识库自动问答模型
Wind control plan, natural language processing: 1. Implementation of Word2Vec TranE (Text8 Wikidata WordSim353); 2. seq2seq model -- machine translation (NIST); 3. Text emotion analysis (Rotten Tomato); 4. Implementation and application of pre training language model (DocRED); 5. Judicial Reading Comprehension (CAI 2020); 6. Social computing applications for epidemic related news (CSDC News); 7. Automatic question and answer model of local paper knowledge base based on ChatGLM-6B (2024-04-07, Jupyter Notebook, 0KB, 下载0次)
Nexus MultiTool是多指令集工具，主要以不一致令牌为中心，但也具有其他功能-Nexus MultiTool
Nexus-MultiTool is Multi Dicsord-Tool mostly centered around discord Tokens But also has Other Functions - Nexus-MultiTool (2024-04-06, Python, 0KB, 下载0次)
本系列以Solidity编写的各种现实世界智能合约示例和项目为特色，涵盖去中心化金融、NFT、DAO、游戏、供应链管理、标记化、预测市场和身份验证系统。
This collection features a diverse range of real-world smart contract examples and projects written in Solidity, covering decentralized finance, NFTs, DAOs, gaming, supply chain management, tokenization, prediction markets, and identity verification systems. (2024-04-03, JavaScript, 0KB, 下载0次)
该项目旨在成为用户之间以公平价格交换资产的无许可方式。您可以将T-Swap视为去中心化的资产代币交换（DEX）。T-Swap被称为自动做市商（AMM），因为它不使用正常的“订单簿”式交易，而是使用资产的“池”。它类似于Uni
This project is meant to be a permissionless way for users to swap assets between each other at a fair price. You can think of T-Swap as a decentralized asset token exchange (DEX). T-Swap is known as an Automated Market Maker (AMM) because it doesn t use a normal "order book" style exchange, instead it uses "Pools" of an asset. It is similar to Uni (2024-03-26, Solidity, 0KB, 下载0次)
持有Floor Genesis代币的钱包地址的公共列表，用于无权限合作！快照星期五23:59:59 UTC。与楼层代币持有者分享酷的东西让我们知道，我们可以分享新闻！
A public list of wallet addresses that hold Floor Genesis tokens for permission-less partnerships! Snapshots Friday @ 23:59:59 UTC. Sharing something cool with Floor token holders Let us know and we may share the news! (2024-03-19, Others, 0KB, 下载0次)
简介：FACINS COIN（FIC）是一种尖端加密货币，旨在彻底改变数字交易并重塑金融格局。FIC总共供应90亿枚代币，为用户提供了一种安全、去中心化和高效的全球金融交易手段。
Introduction: FACINS COIN (FIC) is a cutting-edge cryptocurrency designed to revolutionize digital transactions and reshape the financial landscape. With a total supply of 9 billion tokens, FIC empowers users with a secure, decentralized, and efficient means of conducting financial transactions globally. (2024-02-25, Others, 0KB, 下载0次)
该项目旨在成为用户之间以公平价格交换资产的无许可方式。您可以将T-Swap视为去中心化的资产代币交换（DEX）。T-Swap被称为自动做市商（AMM），因为它不使用正常的“订单簿”式交易，而是使用资产的“池”。
This project is meant to be a permissionless way for users to swap assets between each other at a fair price. You can think of T-Swap as a decentralized asset token exchange (DEX). T-Swap is known as an Automated Market Maker (AMM) because it doesn t use a normal "order book" style exchange, instead it uses "Pools" of an asset. (2024-02-17, Solidity, 0KB, 下载0次)
Python的TfidfVectorizer使用TF-IDF进行文档到矩阵的转换。与PassiveAggressiveClassifier配合使用，它可以动态适应错误分类，提高假新闻检测的准确性。评估涉及准确性得分和混淆矩阵。
Python s TfidfVectorizer employs TF-IDF for document-to-matrix conversion. Teamed with a PassiveAggressiveClassifier, it adapts dynamically to misclassifications, enhancing fake news detection accuracy. Evaluation involves an accuracy score and confusion matrix. (2023-12-23, Python, 0KB, 下载0次)
该存储库包含一个机器学习项目，用于将新闻文章分类为不同的类别。该项目包括数据预处理、使用各种方法的特征提取以及不同机器学习模型的应用。
This repository contains a machine learning project for classifying news articles into different categories. The project includes data preprocessing, feature extraction using various methods, and the application of different machine learning models. (2023-12-22, Jupyter Notebook, 0KB, 下载0次)
AG-Gate 是一个基于spring cloud的用户资源授权、api管理授权的网关系统,以jwt交互的鉴权token来实施,支持基于Eureka注册中心下的服务鉴权和拦截,同时扩展Eureka下服务失效的通知扩展。
AG Gate is a gateway system for user resource authorization and api management authorization based on spring cloud. It is implemented with the authentication token of jwt interaction, supports service authentication and interception based on the Eureka registry, and extends the notification extension of service failure under Eureka. (2017-07-14, JavaScript, 2052KB, 下载0次)
本项目基于spring-cloud-starter- oauth2搭建的认证中心和资源服务器的微服务项目,项目不仅仅简单的demo,项目的出发点在于实战应用。本项目为笔者花了不少时间和精力整理出来的,只需要稍微调整就可应用于实际项目当中...
This project is based on the micro service project of certification center and resource server built by spring cloud starter oauth2. The project is not only a simple demo, but also a practical application. This project has spent a lot of time and energy for the author to sort out, and can be applied to the actual project only with slight adjustment (2021-05-07, Java, 2913KB, 下载0次)
有感于自己学习LDA的时候没有一个完整的从语料到分类结果的例子,决定开一小项目来实现,原始的数据是搜狗实验室提供的新闻语料
Feeling that I didn t have a complete example from corpus to classification results when learning LDA, I decided to open a small project to implement it. The original data was news corpus provided by Sogou Lab (2014-11-12, Java, 3KB, 下载0次)
Topic Analysis of Weibo News Based on Title-Weighted LDA Model ;基于标题加权的LDA模型的微博新闻主题分析;タイトル加重LDAモテ?ルに基つ?くWeiboニューストヒ?ック分析
Topic Analysis of Weibo News Based on Title-Weighted LDA Model ; Analysis of Weibo News Theme Based on Title Weighted LDA Model; Ta イトルモ te ?ルにつ?く Weibo ニューストヒ?ック Analysis (2021-10-12, Jupyter Notebook, 24733KB, 下载0次)
提出基于划分的LDA主题模型 (PLDA)。对传统LDA模型进行改进,考虑中长篇文档篇章结构较为清晰,传统LDA在处理中长篇文档时不能识别每个篇章的主题,提出基于划分的LDA主题模型,对中长篇文档如新闻报道】国务院工作报告等按照段落进...
A partition based LDA topic model (PLDA) is proposed. To improve the traditional LDA model, considering that the text structure of medium and long documents is relatively clear, the traditional LDA cannot identify the theme of each chapter when processing medium and long documents, propose the LDA topic model based on division, and proceed according to paragraphs for medium and long documents such as news reports] work reports of the State Council (2019-07-08, Python, 16KB, 下载0次)
我们探索了使用细胞神经网络和LSTM来解决新闻标题分为四类的问题的潜力...
We explore the potential of using CNNs and LSTMs to solve the problem of classification of news headlines into four categories - business, entertainment, health, science and technology. We show that pre-trained word2vec embeddings are able to improve pure deep architectures. We demonstrate that LSTMs are able to outperform CNNs on this particula... (2020-05-20, Jupyter Notebook, 970KB, 下载0次)
...-的单词或TF-IDF矩阵，然后将数据拟合到各种分类模型中，对BBC新闻故事进行分类...
I have been tasked to solve a text analytic problem using Python. I was given a dataset (bbc-text.csv) consists of 2225 documents from the BBC news website corresponding to stories in five topical areas from 2004-2005. The csv file consists of two columns, first being the “category”, which are the labels for each document: business, entertainmen... (2021-12-01, Jupyter Notebook, 21757KB, 下载0次)
注意：此存储库由NLP项目的文件组成-假新闻检测分类器，该分类器作为数据库保存...
Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd. (2021-03-16, Jupyter Notebook, 3095KB, 下载0次)
这个模型有助于使用机器学习算法识别假新闻或虚假信息，在这个模型中，我们有...
This model helps to identify fake news or false information using machine learning algorithms, in this model we have used TF-IDF vectorizer to differentiate the news samples and then categorize them into fake or real. We have been able to achieve 90% accuracy. (2021-09-05, Jupyter Notebook, 11681KB, 下载0次)
该数据集包含从《赫芬顿邮报》获得的2013年至2018年的约12.5万条新闻标题。模型训练...
This dataset contains around 125k news headlines from the year 2013 to 2018 obtained from HuffPost. The model trained on this dataset could be used to identify tags for untracked news articles or to identify the type of category of the news. (2018-08-13, Python, 15190KB, 下载0次)
揭示遗漏——奥巴马医改新闻报道中的媒体偏见探究。采用硒和美容...
Revealing the Omitted - An Exploration of Media Bias in the news coverage of Obamacare. Employs Selenium and BeautifulSoup to scrape over 160k articles across over 8k publishers on Obamacare. Uses TF-IDF and LDA to perform topic modeling which revealed what’s theoretically omitted in a given article and systematically underrepresented at a (2019-02-09, Others, 883644KB, 下载0次)