Machine Learning Pipelines for Kubeflow
$ npx skills add kubeflow/pipelinesAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Best Practices on Recommendation Systems
Machine Learning Pipelines for Kubeflow
$ npx skills add kubeflow/pipelinesMLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
$ npx skills add mlrun/mlrunAI Infra / AI Orchestration / AI Control Plane
$ npx skills add polyaxon/polyaxonAutomated Machine Learning on Kubernetes
$ npx skills add kubeflow/katibDistribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
$ npx skills add run-house/kubetorchA low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
$ npx skills add metarank/metarankHelm Chart & Documentation for deploying JupyterHub on Kubernetes
$ npx skills add jupyterhub/zero-to-jupyterhub-k8sDetermined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
$ npx skills add determined-ai/determinedMicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
$ npx skills add canonical/microk8sAn easy to use and powerful chaos engineering experiment toolkit.(阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具)
$ npx skills add chaosblade-io/chaosbladeA toolkit to run Ray applications on Kubernetes
$ npx skills add ray-project/kuberayOfficial Python client library for kubernetes
$ npx skills add kubernetes-client/pythonKubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
$ npx skills add kubeflow/spark-operatorAI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
$ npx skills add ai-infra-curriculum/ai-infra-engineer-learningAn open, distributed platform as a service
$ npx skills add Yelp/paastaThe AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
$ npx skills add diffgram/diffgramHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Recommenders if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.