Kubeflow Open Source Projects

Machine Learning Toolkit for Kubernetes

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，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虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Machine Learning Pipelines for Kubeflow

PipelineAI

Elyra extends JupyterLab with an AI centric approach.

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS

A CLI for Kubeflow.

Kubeflow’s superfood for Data Scientists

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

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

All the available resources to master MLOPS from scratch

A personal research and development (R&D) lab that facilitates the sharing of knowledge.

👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

Kubernetes Guide. Learn all about Kubernetes monitoring, networking, and containers. Whether you're running Kubernetes Locally or in the Cloud ( Azure, AWS, and GCP).

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

Information about the Kubeflow community including proposals and governance information.

KubeFlow on AWS

Kubeflow Pipelines on Tekton

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Transform your pythonic research to an artifact that engineers can deploy easily.

:snowflake: :whale: Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Kubeflow helm chart

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo

Cloud Native ML/DL Platform

A declarative KubeFlow Management Tool

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Charmed Kubeflow

K3ai is a lightweight, fully automated, AI infrastructure-in-a-box solution that allows anyone to experiment quickly with Kubeflow pipelines. K3ai is perfect for anything from Edge to laptops.