PipelinesMachine Learning Pipelines for Kubeflow
Stars: ✭ 2,607 (+1952.76%)
Mutual labels: pipeline, kubeflow, mlops
mlops-platformsCompare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Stars: ✭ 293 (+130.71%)
Mutual labels: kubeflow, mlops
tfx-kubeflow-pipelinesKubeflow pipelines built on top of Tensorflow TFX library
Stars: ✭ 17 (-86.61%)
Mutual labels: kubeflow, mlops
kedroA Python framework for creating reproducible, maintainable and modular data science code.
Stars: ✭ 6,068 (+4677.95%)
Mutual labels: pipeline, mlops
Great expectationsAlways know what to expect from your data.
Stars: ✭ 5,808 (+4473.23%)
Mutual labels: pipeline, mlops
k3aiA 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.
Stars: ✭ 105 (-17.32%)
Mutual labels: kubeflow, mlops
k3ai-coreK3ai-core is the core library for the GO installer. Go installer will replace the current bash installer
Stars: ✭ 23 (-81.89%)
Mutual labels: pipeline, kubeflow
Production Level Deep LearningA guideline for building practical production-level deep learning systems to be deployed in real world applications.
Stars: ✭ 3,358 (+2544.09%)
Mutual labels: pipeline, kubeflow
KedroA Python framework for creating reproducible, maintainable and modular data science code.
Stars: ✭ 4,764 (+3651.18%)
Mutual labels: pipeline, mlops
cartpole-rl-remoteCartPole game by Reinforcement Learning, a journey from training to inference
Stars: ✭ 24 (-81.1%)
Mutual labels: kubeflow, mlops
aml-computeGitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
Stars: ✭ 19 (-85.04%)
Mutual labels: mlops
ImcSegmentationPipelineA pixel classification based multiplexed image segmentation pipeline
Stars: ✭ 62 (-51.18%)
Mutual labels: pipeline
dagshub-branch-source-pluginJenkins plugin for using DAGsHub as a source for multibranch projects
Stars: ✭ 12 (-90.55%)
Mutual labels: pipeline
chartsHelm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.
Stars: ✭ 32 (-74.8%)
Mutual labels: mlops
mlops-workload-orchestratorThe MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.
Stars: ✭ 114 (-10.24%)
Mutual labels: mlops
vertex-edgeA tool for training models to Vertex on Google Cloud Platform.
Stars: ✭ 24 (-81.1%)
Mutual labels: mlops
needlestackMulti-sample somatic variant caller
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Mutual labels: pipeline
ngs-preprocessA pipeline for preprocessing NGS data from Illumina, Nanopore and PacBio technologies
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Mutual labels: pipeline
cmdcMaya Python API 3.0
Stars: ✭ 98 (-22.83%)
Mutual labels: pipeline
