Kubeflow
kubeflow
Machine Learning Toolkit for Kubernetes
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Find a skill for your next task. Preview examples where available.
Page 1 · 16 shown · 20 public entries
Results: 20
kubeflow
Machine Learning Toolkit for Kubernetes
dstackai
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
kubeflow
Machine Learning Pipelines for Kubeflow
kubeflow
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
kubeflow
Automated Machine Learning on Kubernetes
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank en…
determined-ai
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works w…
techiescamp
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations
SeldonIO
Machine Learning Platform and Recommendation Engine built on Kubernetes
abhishek-ch
A Data Engineering & Machine Learning Knowledge Hub
MicrosoftDocs
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment. Use when tuning Doc…
managedcode
Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations. USE F…
claimed-framework
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
deployKF
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
iterative
☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes