多模态评估是多模态人工智能ML模型在大量不同评估任务上的评估和基准测试框架。根据答案相关性、摘要、信度、幻觉、毒性、偏见等指标评估人工智能ML模型。
Multi-Modality Evals is an evaulation and benchmarking framework for multi-modality AI ML models on a large number of different evaluation tasks. Evaluates AI ML models on metrics such as answer relevancy, summarization, faithfulness, hallucination, toxicity, bias, etc. (2024-04-28, Python, 0KB, 下载0次)
介绍我的Face Attendance应用程序：由卷积神经网络（CNN）和烧瓶构建，简化了考勤管理。无缝识别人脸，为跟踪出勤率、优化教育或企业环境中的时间和资源提供了有效的解决方案
Introducing my Face Attendance App: Built with Convolutional Neural Networks (CNN) and Flask, it streamlines attendance management. Seamlessly recognizing faces, it offers an efficient solution for tracking attendance, optimizing time and resources in educational or corporate settings (2024-03-22, Python, 0KB, 下载0次)
Whatsapp AI聊天机器人自动回复Pro是一款自动聊天机器人，适用于企业，旨在回答客户查询并提供有用的支持
Whatsapp AI chatbot Auto Reply Pro is an automated chatbot for businesses designed to answer customer queries and provide helpful support (2024-03-12, Python, 0KB, 下载0次)
该数据集包含分为五类的新闻文章：科技、商业、体育、政治和娱乐。基于该数据集，我们需要对数据进行预处理，选择特征，并训练和评估他们选择的机器学习模型来对新闻文章进行分类。
The dataset contains news articles split into five categories: tech, business, sport, politics and entertainment. Based on this dataset, we need to preprocess the data, select features and train and evaluate a machine learning model of their choice for classifying news articles. (2024-02-26, Python, 0KB, 下载0次)
TTCP CAGE挑战是一系列公共挑战，旨在促进自主网络防御代理的发展。CAGE Challenge 4（CC4）返回国防工业企业环境，并引入多代理强化学习（MARL）场景。
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario. (2024-02-21, Python, 0KB, 下载0次)
这是对在线零售商店的客户交易数据的分析，以了解客户的购买行为，从而帮助企业，就库存管理做出有效决策，监控动态购物趋势，并在正确的方向上渠道营销资源
This is an analysis of customers’ transaction data of an online retail store to gain insights about customers’ purchase behavior, in order to help the business, make effective decisions about inventory management, monitoring dynamic shopping trends, and channel marketing resources in the correct direction (2023-12-26, Python, 0KB, 下载0次)
提供基于企业级LLM的开发框架、工具和微调模型。，
Providing enterprise-grade LLM-based development framework, tools and fine- tuned models., (2023-10-02, Python, 0KB, 下载0次)
自动化：人工智能驱动的自动化软件彻底改变了企业。通过我们的......，优化运营，提高生产力，并推动增长...，
Automate: AI-powered automation software revolutionizing businesses. Streamline operations, boost productivity, and drive growth with our intuitive, user-friendly solutions. (2023-07-27, Python, 0KB, 下载0次)
正在进行的Android应用程序显示了阿联酋Ras al-Khaimah内所有可用企业的交互式地图。
An in-progress Android app showcasing an interactive map with all the available businesses within Ras al Khaimah, UAE. (2019-05-02, Python, 0KB, 下载0次)
这是一个聊天机器人，企业可以使用它通过Whatsapp SMS使用Twilio API和Open与客户进行通信...
A chatbot that can be used by businesses to communicate with customers via Whatsapp SMS using the Twilio API and OpenAI s GPT-3 language model. (2023-01-02, Python, 4KB, 下载0次)
TradeTheEvent，“交易事件：基于新闻的事件驱动交易的企业事件检测”的实施...
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021 (2021-09-11, Python, 648KB, 下载0次)
愿景X。在我们学院成功实施并优化我们的系统后，我们将在大型连锁企业中实施...
Objective : To create an automated parking lot management system. Implementation : We would like to use computer vision to tackle the hassles of maintaining a large chain of multi-storeyed parking lots. For this, we would like to use popular python libraries like OpenCV-python, numpy, pandas, etc. Let us consider a large parking lot chain with (2020-03-25, Python, 101KB, 下载0次)
Android-Plan,当今海量的移动应用跟人们的生活、工作、学习、休闲、娱乐等方面密切相关,发挥着重要作用。多数APP在安装、更新时,都会向用户申请相关手机权限。多数终端用户缺乏鉴别APP所请求的权限是否合理的能力,并且APP安装使用过程中过度索要权限现象...
Android Plan, a massive number of mobile applications today, is closely related to people s lives, work, learning, leisure, entertainment, and other aspects, playing an important role. Most apps apply for relevant phone permissions from users during installation and updates. Most end users lack the ability to verify whether the permissions requested by the app are reasonable, and there is an excessive demand for permissions during app installation and use (2020-02-11, Python, 298KB, 下载0次)
mlops项目模板，Azure mlops（v2）解决方案加速器。企业级模板，用于在Azur上部署您的机器学习模型...
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform. (2023-04-08, Python, 1856KB, 下载0次)
mlops模板、Azure mlops（v2）解决方案加速器。企业级模板，用于在Azur上部署您的机器学习模型...
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform. (2023-04-13, Python, 1195KB, 下载0次)
一个基于PC版的微信机器人，采用hook的形式进行消息拦截，内存信息读取的形式，实现安全工具，安全资讯，安全客，freebuf等安全论坛自动推送以及每日早报，晚报和娱乐功能，并且还加入当前最火的openai对话功能
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WechatBot is a PC based WeChat robot that uses hooks for message interception and memory information reading, enabling automatic push of security tools, security information, security guests, freebuf, and other security forums, as well as daily morning, evening, and entertainment functions. It also incorporates the currently popular OpenAI dialogue function, (2023-04-05, Python, 57730KB, 下载0次)
本仓库包含本人在中山大学计算机科学与技术专业的课程资料：计网、算法、并行、信号与系统、人工智能、信安、区块链、数据库、机器人、自然语言处理、高级算法等。
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This warehouse contains the course materials of my computer science and technology major in Sun Yat sen University: networking, algorithm, parallelism, signal and system, artificial intelligence, Xinan, blockchain, database, robot, natural language processing, advanced algorithm, etc. (2022-08-13, Python, 724307KB, 下载0次)
基于Flask、Keras（tensorflow）实现的问答机器人，可快速整合企业内业务数据，对外提供智能问答功能。
The question-and-answer robot based on Flask and Keras (TensorFlow) can quickly integrate business data within the enterprise and provide intelligent question-and-answer function to the outside. (2021-04-02, Python, 2144KB, 下载2次)
关于各种GAN的代码实列，包括ｃｇａｎ，ｉｎｆｏｇａｎ，ｗｇａｎ等。
Code listings for various GANs, including cgan, infogan, wgan, etc. (2018-08-29, Python, 13224KB, 下载15次)
利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。
The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good recognition rate under low SNR. (2018-01-16, Python, 3KB, 下载68次)