There are 18 repositories under kubeflow topic.
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
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
PipelineAI
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 & ML Platforms on Amazon EKS
Kubeflow’s superfood for Data Scientists
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
All the available resources to master MLOPS from scratch
👩🔬 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.
Kubeflow Pipelines on Tekton
Information about the Kubeflow community including proposals and governance information.
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
: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
Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
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.