kubeflow-pipelines

There are 1 repository under kubeflow-pipelines topic.

kubeflow / pipelines
Machine Learning Pipelines for Kubeflow
kubeflow-pipelines mlops kubeflow machine-learning kubernetes pipeline data-science
Language:Python 3442
kserve / kserve
Standardized Serverless ML Inference Platform on Kubernetes
knative machine-learning model-interpretability model-serving istio kubeflow kubeflow-pipelines artificial-intelligence tensorflow pytorch sklearn xgboost kubernetes k8s service-mesh kserve hacktoberfest mlops mlops-community hacktoberfest2023
Language:Python 3050
elyra-ai / elyra
Elyra extends JupyterLab with an AI centric approach.
notebooks notebook-jupyter jupyterlab jupyterlab-extensions ai machine-learning pipelines kubeflow-pipelines python elyra binder jupyterlab-notebooks kubeflow hacktoberfest jupyterlab-extension anaconda pypi docker apache-airflow airflow
Language:Python 1773
kubeflow-kale / kale
Kubeflow’s superfood for Data Scientists
kubeflow kubeflow-pipelines jupyter-notebook machine-learning
Language:Python 623
awesome-kubeflow
terrytangyuan / awesome-kubeflow
A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)
awesome awesome-list awesome-lists cloud-native cncf deep-learning devops kubeflow kubeflow-pipelines kubernetes machine-learning mlops workflow-orchestration data-pipelines data-science mle-pipelines
179
KubeflowDojo
IBM / KubeflowDojo
Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
kubeflow kubeflow-dojo kubeflow-pipelines kfserving training operators
Language:Jupyter Notebook 132
kf5i / k3ai
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.
kubeflow-pipelines kubernetes k3s machinelearning datascience artificial-intelligence edge kubeflow inference-server
Language:PowerShell 101
pipeline-editor
Cloud-Pipelines / pipeline-editor
Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
machine-learning pipelines kubeflow-pipelines google-cloud vertex-ai pipeline google-cloud-platform google-cloud-vertex-ai google-cloud-vertex
Language:TypeScript 53
sbakiu / kubeflow-spark
Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.
kubeflow kubeflow-pipelines spark spark-operator python kubernetes
Language:Python 47
getindata / kedro-kubeflow
Kedro Plugin to support running workflows on Kubeflow Pipelines
kedro kubeflow machinelearning mlops kedro-kubeflow ai-pipelines kubeflow-pipelines kedro-plugin
Language:Python 44
ploomber / soopervisor
☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
kubernetes argo-workflows argo airflow aws slurm workflow data-science machine-learning kubeflow kubeflow-pipelines
Language:Python 42
FernandoLpz / Kubeflow_Pipelines
This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.
kubeflow kubeflow-pipelines kubeflow-component docker mlops machine-learning deep-learning training
Language:Python 40
elyra-ai / pipeline-editor
Common pipeline-editor components used in different clients (e.g. Elyra application, Web browser extensions, etc)
machine-learning ai pipeline pipeline-editor kubeflow-pipelines apache-airflow airflow
Language:TypeScript 27
elyra-ai / kfp-notebook
This repository is no longer maintained.
jupyter-notebook kubeflow-pipelines
Language:Python 25
e2fyi / kubeflow-aws
Kustomize manifest to deploy kubeflow pipelines in AWS
kubeflow kubeflow-pipelines kustomize aws
Language:Shell 21
lsjsj92 / kubeflow_example
kubeflow example
python python3 machine-learning deep-learning machine-learning-pipelines kubeflow kubeflow-pipelines dockerfile ml mlops
Language:Python 19
joseprsm / rexify
🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
tensorflow-recommenders recommender-system rexify tensorflow kubeflow kubeflow-pipelines
Language:Python 18
sayakpaul / CI-CD-for-Model-Training
This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.
mlops gcp ci-cd model-training cloud-build vertex-ai cloud-scheduler pub cloud-functions tensorflow-extended kubeflow-pipelines
Language:Jupyter Notebook 18
kubeflow-kale / jupyterlab-kubeflow-kale
JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment
jupyterlab jupyterlab-extension kubeflow kubeflow-pipelines
Language:TypeScript 17
CODAIT / flight-delay-notebooks
Analyzing flight delay and weather data using Elyra, IBM Data Asset Exchange, Kubeflow Pipelines and KFServing
elyra kfserving kubeflow-pipelines jupyter-notebook jupyter jupyterlab codait machine-learning data-science
Language:Jupyter Notebook 14
manceps / fashion-mnist-kfp-lab
A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines.
kubeflow kubeflow-pipelines jupyter-notebooks python3 tensorflow mlops
Language:Jupyter Notebook 14
dvdbisong / kubeflow-for-poets
Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline
machine-learning kubeflow-pipelines kubeflow kubernetes docker google-kubernetes-engine
Language:Python 13
luotigerlsx / kubeflow-pipeline-fantasy
Tutorials, Examples about Kubeflow Pipeline.
kubeflow-pipelines pipeline-component kubeflow-cluster
Language:Jupyter Notebook 12
Ark-kun / pipeline_components
Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/
kubeflow-pipelines machine-learning kfp pipelines cloud-pipelines ml-pipelines mlops
Language:Python 11
datarootsio / terraform-provider-kubeflowpipelines
Terraform provider for Kubeflow pipelines API
kubeflow terraform kubeflow-pipelines
Language:Go 8
google / vertex-pipelines-boilerplate
Boilerplate code for setting up a Kubeflow pipeline to run in Cloud Vertex AI Pipelines.
cloud gcp kubeflow vertex-ai google google-cloud kubeflow-pipelines pipelines
Language:Python 8
kubeflow / kfp-tekton-backend
Experimental project plugging Tekton yaml behind KFP API and UI engine
kubeflow-pipelines kfp-tekton tekton tekton-backend
Language:TypeScript 8
Techn0logic / kubeflow-pipelines-standalone
A Helm chart containing Kubeflow Pipelines as a standalone service.
mlops mlops-workflow machine-learning-engineering kubeflow-pipelines workflow-engine machine-learning
8
GoogleCloudPlatform / kubeflow-gke-docs
Documentation for Kubeflow on Google Cloud
documentation gcp gke google-cloud google-cloud-platform kubeflow kubeflow-cluster kubeflow-pipelines kubernetes machine-learning mlops pipelines
Language:Python 7
haoxins / jupyter-notebooks
The custom JupyterLab notebook images for Kubeflow
docker elyra images jupyter jupyterlab kubeflow-pipelines
Language:Dockerfile 7
jerife / MLOps-on-kubernetes
MLOps Implementing "Brain Computer Interface" on Kubernetes
brain-computer-interface machine-learning mlops model-serving signal-processing gcp google-kubernetes-engine bentoml gke google-cloud-platform grafana kubeflow kubeflow-pipelines kubernetes mlflow prometheus wandb weights-and-biases deep-learning
Language:Python 7
SaschaHeyer / Machine-Learning-Training
Contains jupyter notebooks, presentations and examples for Keras, Google AI Platform and Kubeflow.
keras kubeflow kubeflow-pipelines ai machine-learning ner named-entity-recognition named-entity-extraction tensorflow gcp ml-engine
Language:Jupyter Notebook 6
SaschaHeyer / Named-Entity-Recognition
Contains a Keras Bi-LSTM for Named Entity Recognition (This example demonstrates how you can use Kubeflow to train and deploy a Keras model with a custom prediction routine).
keras named-entity-recognition ner named-entity-extraction tensorflow kubeflow kubeflow-pipelines machine-learning deep-learning
Language:Python 6
argoflow / argoflow-gcp
Argoflow-GCP has been superseded by deployKF
kubeflow argocd kubeflow-pipelines kubernetes
Language:YAML 5
deployKF / kubeflow-pipelines-gitops
example of using GitOps with Kubeflow Pipelines from deployKF
gitops kubeflow-pipelines examples mlops
Language:Python 5
felix-exel / kubeflow-pipeline
Kubeflow Pipeline along with MLflow Tracking on a time series forecasting example.
kubeflow kubeflow-pipelines mlflow mlflow-tracking mlflow-docker mlflow-kubernetes tensorflow tensorflow2
Language:Jupyter Notebook 5

kubeflow-pipelines

kubeflow / pipelines

kserve / kserve

elyra-ai / elyra

kubeflow-kale / kale

terrytangyuan / awesome-kubeflow

IBM / KubeflowDojo

kf5i / k3ai

Cloud-Pipelines / pipeline-editor

sbakiu / kubeflow-spark

getindata / kedro-kubeflow

ploomber / soopervisor

FernandoLpz / Kubeflow_Pipelines

elyra-ai / pipeline-editor

elyra-ai / kfp-notebook

e2fyi / kubeflow-aws

lsjsj92 / kubeflow_example

joseprsm / rexify

sayakpaul / CI-CD-for-Model-Training

kubeflow-kale / jupyterlab-kubeflow-kale

CODAIT / flight-delay-notebooks

manceps / fashion-mnist-kfp-lab

dvdbisong / kubeflow-for-poets

luotigerlsx / kubeflow-pipeline-fantasy

Ark-kun / pipeline_components

datarootsio / terraform-provider-kubeflowpipelines

google / vertex-pipelines-boilerplate

kubeflow / kfp-tekton-backend

Techn0logic / kubeflow-pipelines-standalone

GoogleCloudPlatform / kubeflow-gke-docs

haoxins / jupyter-notebooks

jerife / MLOps-on-kubernetes

SaschaHeyer / Machine-Learning-Training

SaschaHeyer / Named-Entity-Recognition

argoflow / argoflow-gcp

deployKF / kubeflow-pipelines-gitops

felix-exel / kubeflow-pipeline