Best AI tools for< 数据科学家 >

The website offers an AI testing system that allows users to generate test questions instantly. It features a smart question bank, rapid question generation, and immediate test creation. Users can try out various test questions, such as generating knowledge test questions for car sales, company compliance standards, and real estate tax rate knowledge. The system ensures each test paper has similar content and difficulty levels. It also provides random question selection to reduce cheating possibilities. Employees can access the test link directly, view test scores immediately after submission, and check incorrect answers with explanations. The system supports single sign-on via WeChat for employee verification and record-keeping of employee rankings and test attempts. The platform prioritizes enterprise data security with a three-level network security rating, ISO/IEC 27001 information security management system, and ISO/IEC 27701 privacy information management system.

DataTower.ai is an AI tool that offers a comprehensive platform for the measurement of advertising effectiveness and data analysis. It provides solutions for user acquisition success, accurate ad performance tracing, optimization of ad performance, precise audience targeting, around-the-clock strategy adjustments, and transformation of user journey insights into actionable business guidance. The platform integrates data analysis, attribution monitoring, event forwarding, and more features to empower enterprises in making efficient and accurate decisions.

KWeaver is an open-source cognitive intelligence development framework that provides data scientists, application developers, and domain experts with the ability for rapid development, comprehensive openness, and high-performance knowledge network generation and cognitive intelligence large model framework. It offers features such as automated and visual knowledge graph construction, visualization and analysis of knowledge graph data, knowledge graph integration, knowledge graph resource management, large model prompt engineering and debugging, and visual configuration for large model access.

Llama中文社区是一个专注于Llama模型在中文方面的优化和上层建设的高级技术社区。 **已经基于大规模中文数据，从预训练开始对Llama2模型进行中文能力的持续迭代升级【Done】**。**正在对Llama3模型进行中文能力的持续迭代升级【Doing】** 我们热忱欢迎对大模型LLM充满热情的开发者和研究者加入我们的行列。

LLM Cookbook is a developer-oriented comprehensive guide focusing on LLM for Chinese developers. It covers various aspects from Prompt Engineering to RAG development and model fine-tuning, providing guidance on how to learn and get started with LLM projects in a way suitable for Chinese learners. The project translates and reproduces 11 courses from Professor Andrew Ng's large model series, categorizing them for beginners to systematically learn essential skills and concepts before exploring specific interests. It encourages developers to contribute by replicating unreproduced courses following the format and submitting PRs for review and merging. The project aims to help developers grasp a wide range of skills and concepts related to LLM development, offering both online reading and PDF versions for easy access and learning.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

AI-Notes is a repository dedicated to practical applications of artificial intelligence and deep learning. It covers concepts such as data mining, machine learning, natural language processing, and AI. The repository contains Jupyter Notebook examples for hands-on learning and experimentation. It explores the development stages of AI, from narrow artificial intelligence to general artificial intelligence and superintelligence. The content delves into machine learning algorithms, deep learning techniques, and the impact of AI on various industries like autonomous driving and healthcare. The repository aims to provide a comprehensive understanding of AI technologies and their real-world applications.

PaddleScience is a scientific computing suite developed based on the deep learning framework PaddlePaddle. It utilizes the learning ability of deep neural networks and the automatic (higher-order) differentiation mechanism of PaddlePaddle to solve problems in physics, chemistry, meteorology, and other fields. It supports three solving methods: physics mechanism-driven, data-driven, and mathematical fusion, and provides basic APIs and detailed documentation for users to use and further develop.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

VPNFast is a lightweight and fast VPN service provider that offers secure and private internet access. With VPNFast, users can protect their online privacy, bypass geo-restrictions, and secure their internet connection from hackers and snoopers. The service provides high-speed servers in multiple locations worldwide, ensuring a reliable and seamless VPN experience for users. VPNFast is easy to use, with a user-friendly interface and simple setup process. Whether you're browsing the web, streaming content, or accessing sensitive information, VPNFast helps you stay safe and anonymous online.

AMchat is a large language model that integrates advanced math concepts, exercises, and solutions. The model is based on the InternLM2-Math-7B model and is specifically designed to answer advanced math problems. It provides a comprehensive dataset that combines Math and advanced math exercises and solutions. Users can download the model from ModelScope or OpenXLab, deploy it locally or using Docker, and even retrain it using XTuner for fine-tuning. The tool also supports LMDeploy for quantization, OpenCompass for evaluation, and various other features for model deployment and evaluation. The project contributors have provided detailed documentation and guides for users to utilize the tool effectively.

Okay, here is a JSON object with the requested information about the awesome-cuda-tensorrt-fpga repository:

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, ,'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in less than 3 words,Verb + noun form,in daily spoken language,in lowercase letters).Answer in english languagesname:Awesome-Chinese-LLM readme:# Awesome Chinese LLM   An Awesome Collection for LLM in Chinese 收集和梳理中文LLM相关    自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究和应用的浪潮。尤其是以ChatGLM、LLaMA等平民玩家都能跑起来的较小规模的LLM开源之后，业界涌现了非常多基于LLM的二次微调或应用的案例。本项目旨在收集和梳理中文LLM相关的开源模型、应用、数据集及教程等资料，目前收录的资源已达100+个！ 如果本项目能给您带来一点点帮助，麻烦点个⭐️吧～ 同时也欢迎大家贡献本项目未收录的开源模型、应用、数据集等。提供新的仓库信息请发起PR，并按照本项目的格式提供仓库链接、star数，简介等相关信息，感谢~

DataAgent is a multi-agent system for data analysis, capable of understanding data development and data analysis requirements, understanding data, and generating SQL and Python code for tasks such as data query, data visualization, and machine learning.

数据和日志分析专家，使用中文回答

科学的尽头是玄学

生成操作流程的生物信息学 GPT

一款基于深度神经网络预测给出中国A股股票买入建议的智能投资顾问 An intelligent investment advisor based on deep neural network for predicting buy recommendations for Chinese A-share stocks.

可以从数据层面了解2024年前AI领域信息

精通直播数据复盘，优化你的直播间数据，帮助你完成销售指标

根据用户输入的数据参数生成标签

辅助用户分析篮球彩票数据和走势。

专业预测师，基于用户数据提供预测反馈。

总结纲要，结合财报及经营数据，生成总结点评分析

物理变声器专家，提供精准物理数据

数据分析大师，帮你处理数据并提供专业分析。

专注于提供Tim Hortons Hockey Challenge的每日选手建议，基于实时数据和概率分析。

专注于理解和解释人类语言，常使用这些算法来分析文本数据。

一名暴躁且专业的健身教练，会根据您的身体数据和运动目标，帮您计算出热量消耗，并设计合理的健身计划&动作指导。

你好，我是王熙凤。我由富阳大数据研究院和浙江汉德瑞智能公司利用AI技术创建。请和我讨论与红楼梦、管家妙招、金钱管理等相关的问题。

您的数字化健康伴侣。专为追求健康生活的您设计，提供个性化健康建议、症状自检以及健康数据追踪功能，让健康管理变得简单、高效。

对各种量化问题进行拆解和粗略的估算。注意这种估算主要是靠推测，而不是靠准确的数据，因此仅供参考。理想情况下，估算结果和真实值差距可能在1个数量级以内。即使数值不准确，也希望拆解思路对你有所启发。

目标：本任务旨在进行一项详尽的产品市场调查分析。你将要收集和分析与特定产品相关的市场数据，包括消费者偏好、市场趋势、竞争对手情况以及潜在的市场机会。

🌈心理督导服务。此助手经过了特定设计优化。 👉专门为心理咨询师提供专业的督导和反馈，帮助您更深入地理解患者的需求，优化咨询技巧。⚠️注意！已关闭数据分享，所有数据均不保存