Popular GitHub Repositories for Kubernetes Handbook

? The Cloud-Native API Gateway and AI Gateway.

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

?? Build multimodal AI applications with cloud-native stack

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

The Cloud-Native API Gateway and AI Gateway

Machine Learning Toolkit for Kubernetes

Best Practices, code samples, and documentation for Computer Vision.

Build, Manage and Deploy AI/ML Systems

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

? The open-source alternative to Twilio.

? Kubectl plugin to create manifests with LLMs

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

The Cloud-Native API Gateway and AI Gateway

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，标注平台，自动化标注，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式，deepseek训练推理

Standardized Serverless ML Inference Platform on Kubernetes

PipelineAI

The ops and reference implementation for Apache Dubbo.

Open source data anonymization and synthetic data platform for developers. Anonymize your production data and sync it across your environments so that developers can safely use it.