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Airflow

Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows.
hub.docker.com

LiteLLM

LiteLLM is a universal LLM API gateway that provides OpenAI-compatible APIs for 100+ LLM providers including Bedrock, Azure, OpenAI, Anthropic, Vertex AI, and more.
hub.docker.com

Kubeflow Pipelines - Frontend

The Kubeflow Pipelines provides the UI of the Kubeflow Pipeline ecosystem.
hub.docker.com

justlovemaki/CloudFlare-AI-Insight-Daily

JavaScript / AI资讯日报 是一个基于 Cloudflare Workers 驱动的内容聚合与生成平台。它每日为您精选 AI 领域的最新动态,包括行业新闻、热门开源项目、前沿学术论文、科技V社交媒体言论,并通过 Google Gemini 模型进行智能处理与摘要生成,最终自动发布到 GitHub Pages 生成 AI 日报。
github.com

PyTorch

A python-based machine learning framework, providing tensors, dynamic neural networks and strong GPU acceleration.
hub.docker.com

MGdaasLab/WHartTest

Python / WHartTest 是基于 Django REST Framework 与现代模型技术打造的 AI 驱动测试自动化平台平台聚合自然语言理解、知识库检索与嵌入搜索能力,结合 LangChain 与 MCP(Model Context Protocol) 工具调用,实现从需求到可执行测试用例的自动化生成与管理,帮助测试团队提升效率与覆盖率。
github.com

KServe Storage Initializer

Downloads model artifacts from various storage backends (S3, GCS, Azure, etc.) before KServe model serving containers start.
hub.docker.com

Browsing the web

By this point in the module, you should have multiple modern web browsers installed on your computer or other available devices. This article goes deeper into using browsers, looking at how a web browser works, the difference between some of the everyday things you'll interact with, and how to search for information.
developer.mozilla.org

AI模型平台Model Play中文版,正式面向开发者开放! - Gaikikii的个人空间 - OSCHINA - 中文开源技术交流社区

Model Play 是首个基于谷歌Edge TPU芯片的AI模型平台。据悉,Model Play 中文版已经上线,开发者可正式访问该站。 机器学习最直接的应用,就是把模型运用到实际业务上去解决问题。AI模型是人工智能技术在生产实践中真正落地、促进产业发展的重要保障,是人工智能生态中的重要一环。 M
my.oschina.net

Using the Summarizer API

The Summarizer API provides an asynchronous (Promise-based) mechanism for a website to feed a body of text into the browser's own internal AI model and request that it returns a summary of the text based on specified options. This article explains how to use the fundamentals of the Summarizer API.
developer.mozilla.org