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Mo 团队：诞生于浙江大学，由教育部人工智能协同创新中心、浙江大学计算机学院、人工智能研究所、中国人工智能学会等机构成员发起成立。✊团队致力于帮助学习者更好地入门人工智能，并且降低人工智能开发成本，实现 AI 教育普及化，提升人学习成长的能力。 Mo 卡片是一款帮助大家快速学习了解AI基础知识、使用技巧以及应用工具的科普教育App！ 现在已经有太多大模型的工具了，但是我们是否还缺少对AI真正的理解？ 为什么大模型能够带领人工智能快速发展，什么是小学生都已经掌握的AI知识？不要再对AI一知半解了，只会玩AI应用不是永远跟在别人后面？ Mo 卡片（Mo AI Card）希望解决以上问题： 帮助每个人掌握AI知识，了解AI时代的运行逻辑，提高学习、工作效率，获得持续成长的能力。 Mo 卡片通过刷抖音、学单词一样的方式，让体系化复杂的AI 知识变得简单、轻松、上瘾！ 从基础概念到大模型，为你提供全面的科普介绍，随手一刷就能获取一个独立的知识点。 Momodel.cn网站是一个支持 Python 的人工智能学习建模平台。 我们致力于降低人工智能技术开发门槛，是一个为实现让更多人能够快速上手机器学习目标而生的交互式线上数据模型开发、训练与部署平台。 平台基于Jupyter Lab打造，Mo提供“教育”与“工具”属性。 教育：Mo平台提供线上学习、项目实训、能力评测、交流讨论等服务。Mo平台将中国最顶尖的AI教育资源进行整合，提供从零开始到深度学习在内的各阶段课程资源，帮助学习者更好地学习人工智能。 工具：Mo平台提供在线开发、数据集以及GPU训练等功能，降低开发门槛。用户可以在Mo平台上自己撰写代码或者调用他人的模块进行应用的开发和部署；同样，用户也可以利用网站进行机器学习模型的训练，平台提供有GPU以供用户在后台建立Job进行长时间大模型的训练；平台还集成了TensorBoard的可视化工具，来帮助用户理解、调试和优化TensorFlow机器学习模型。 如果你想全面深化学习，从基础知识出发，逐步深入Python编程，直至人工智能的高级应用。网站有50+浙大教授授课课程，并结合丰富的项目实践、数据集分析和模型构建，确保你能够全面掌握并应用所学，将理论知识转化为实际能力，在职场和学校得心应手。 我们深知学习路上，学习资源与答疑的重要性。为此，我们特别开放了沟通渠道，致力于为您提供全方位的学习支持。 🎓 免费学习资料包：我们精心准备了一系列学习资料，涵盖各个领域。 🤔 答疑服务：遇到难题？我们专业的答疑团队随时待命，为您答疑解惑。 👨‍🏫 一对一交流：扫描下方二维码，开启一对一的深入交流。 Installation | Documentation | Contributing | License | Team | Getting help | An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.

Currently in beta. JupyterLab is the next-generation user interface for Project Jupyter. It offers all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user inteface. Eventually, JupyterLab will replace the classic Jupyter Notebook after JupyterLab reaches 1.0. JupyterLab can be extended using extensions that are npm packages and use our public APIs. You can search for the GitHub topic jupyterlab-extension to find extensions.

To learn more about extensions, see our user documentation. The beta releases are suitable for general usage. For JupyterLab extension developers, the extension APIs will continue to evolve until the 1.0 release. 欢迎加入人工智能导论课程！本课程由Momodel提供，本课程包含了 AI 之梦、神经网络、深度学习等章节，介绍了人工智能中的发展历程与应用前景，通过理论介绍和代码实操，你可以掌握不同场景下的人工智能模型构建与应用，后续推荐继续学习机器学习系列课程。 请注意，本课程的部分内容和功能（如Mo-Tutor体验或题目答案）需要在Momodel平台上体验。如果您在GitHub上运行课件时遇到任何问题，或者需要获取题目答案和进一步的学习支持，请直接访问Mo平台获取完整体验。 Tools from the community and partners to simplify tasks and automate processes

A 398B parameters (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation. State-of-the-art open-weight reasoning model. First small multimodal model to have 3 modality inputs (text, audio, image), excelling in quality and efficiency A 398B parameters (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation. There was an error while loading. Please reload this page.

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Please reload this page. Models, prompts, evals, and more. Everything you need to go from idea to shipped—without ever leaving GitHub. Run side-by-side evaluations to compare outputs from industry-leading models in real time. No guesswork, just better results. Version, share, and reuse your prompts across projects.

Treat AI inputs as first-class development assets, just like your source code. Control which models your team can use, keep data and prompts private, and ensure everything runs within GitHub and Azure infrastructure. Build, test, and ship AI—right from your GitHub workflow. Make direct API calls or integrate with the Azure AI SDK or any supported model SDK. Mo+ is a leading edge technology that fully supports model oriented development, allowing software developers to powerfully scale the work they already do. What is Model Oriented Development?

Model Oriented Development (MOD) is a process that allows you to utilize a simple, focused model for development purposes at any point in the development process. You translate model information into source code and/or documents using model oriented patterns or templates. Why Consider Model Oriented Development? You are a busy software developer. You work on legacy systems or you create new systems from ground zero. You are a proponent of or must conform to processes such as waterfall, scrum, or test driven development.

You like or must work in specific programming languages. You have time and other constraints in your daily work. Why would you consider adding something such as model oriented development? Model Oriented Development (MOD) benefits your development work by being: Flexible - With MOD, you don't have to change your current overall development process at all. You can choose to utilize a simple, focused model early or late in your development process. You choose how little or how much to leverage your models to generate and maintain code in the languages of your choosing.

You seamlessly integrate your generated code with your custom code. Productive - Scale and leverage the work you already do. Instead of writing similar things many times, write a model oriented pattern for a component once, and apply that for all similar things in your work. Powerful and Robust - Plain old template/procedural based code generation tools too often fall flat when you need them to solve complex problems with business rules and exceptions. Well-written MOD tools, like Mo+, give you full access to your models with the ability to indicate your rules and exceptions. Model oriented patterns give you the power to solve very complex problems!

Your bug count tends to be lower in model oriented code since issues are usually encountered and resolved early. Reusable - Reuse your model oriented patterns written to your best practices not only on your current project, but for future projects as well! Reuse powerful team or community developed and reviewed patterns. In short, model oriented development allows you to continue to do the work you already do, and it allows you to scale your work to do it better! Requirements for Effective Model Oriented Development For effective model oriented development, the following requirements are essential: You Need a Model - You need a model to represent what you want your system to be and to do.

Without the ability to specify the structure and behavior of your system, you are limited in what you can do from code generation and other automation standpoints. Simple, Focused, Flexible Model – The model structure should be simple, flexible, and focused with essential information needed for model oriented development. Design, platform, and tier details often should be left out of the model and be handled when you translate your model information into code and documents. Overall, you need the modeling effort to be low. Complete Access to Model – You need the ability to populate your models in any way you see fit. You need the ability to indicate exceptions or other conditions.

You may need to create your own model structures. You need the ability to easily recognize your model structures. You need flexible ways to browse, search, and retrieve your model data to perform your tasks. Maximized Code Generation – You need the ability to make the most of your model information, and maximize the quality (not necessarily the quantity) of your auto managed code and documents. Yet overall, you want the code generation effort to be relatively small. Seamless Integration with Custom Code – You need seamless integration of auto managed code and documents with your custom information.

You need the ability to insert and maintain exceptions and specific business rules within generated documents. You need generated and custom code and documents to coexist gracefully. Complete Control of Code Generation – You can’t afford to have all of your code regenerated every time as part of a team development effort. You need to have full control as to if, when, where, and how to update your generated code and documents. Best Practices – You want full control over your auto managed code and documents so that they meet your organization and industry best practices and other requirements. Introducing Mo+

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