Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Training operators on Kubernetes.

A Cloud Native Batch System (Project under CNCF)

Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

JobSet: a k8s native API for distributed ML training and HPC workloads

A CLI for Kubeflow.

Kubernetes Operator for AI and Bigdata Elastic Training

Kubeflow's public website

A toolkit to run Ray applications on Kubernetes

NeMo Megatron launcher and tools

Ongoing research training transformer models at scale

Repository used to main group ACLs used by Kubeflow developers

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

⚡ Building applications with LLMs through composability ⚡

Langchain + Docker + Neo4j

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

Kubernetes-based, scale-to-zero, request-driven compute

Standardized Serverless ML Inference Platform on Kubernetes

Example models using DeepSpeed

PyTorch Tutorial for Deep Learning Researchers

Common APIs and libraries shared by other Kubeflow operator repositories.

QoS based scheduling system for hybrid orchestration workloads on Kubernetes, bringing workloads the best layout and status.

Information about the Kubeflow community including proposals and governance information.

Kubernetes-native Job Queueing

Repository for out-of-tree scheduler plugins based on scheduler framework.