#Kubeflow
Showing 39 of 39 repositories tagged #kubeflow, ranked by stars
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
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Elyra extends JupyterLab with an AI centric approach.
Automated Machine Learning on Kubernetes
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...
👩🔬 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)
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 on AWS
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
Cloud Native ML/DL Platform
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.
Universal Python SDK to run AI workloads on Kubernetes
This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.
A Tutorial for Serving Tensorflow Models using Kubernetes
🪐 1-click Kubeflow using ArgoCD
Code for tutorials and examples
Kernel for Kubeflow in Jupyter Notebook
🚀 Deploy Kubeflow on AWS EKS with Terraform 🤖
Examples of Flink on Azure
☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
Awesome MLOps Course Outline
Notebook images for ODH
The blog post about Kubeflow, including all materials
Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.
A Golang replacement for the Kubeflow Jupyter Web APIs / Un remplacement Golang pour les API de Web de Jupyter, partie de Kubeflow