A complete MLOps demo integrating Kubeflow Pipelines with S3, MLflow, and KServe. Designed for learning and experimentation.
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May 5, 2025 - Python
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kubeflow-pipelines
Here are 107 public repositories matching this topic...
Training and inference code for the claim veracity checker built on Longformer-4096 tuned to PUBHEALTH
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May 22, 2023 - Python
🔧 This project demonstrates how to build and run a machine learning pipeline using Kubeflow Pipelines. 📊 It showcases data preprocessing, model training, and evaluation in a seamless, automated workflow. 🚀 Ideal for hands-on learning with Kubernetes-based ML workflows!
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May 17, 2025 - Python
Active Federated Learning: Target-Environment Probes, Active Weight aggregation, and Active Data (BC) fine-tuning. Demonstrated with PPO on CartPole, run locally or on Kubernetes via Kubeflow Pipelines, Temporal-orchestrated workers, and Karmada multi-cluster.
docker kubernetes machine-learning reinforcement-learning distributed-computing pytorch k8s behavioral-cloning temporal active-learning proximal-policy-optimization federated-learning kubeflow distributed-learning mlflow cartpole-environment kubeflow-pipelines multi-cluster karmada
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Aug 28, 2026 - Python
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May 26, 2020 - Python
Containerized data retrieval from the Ontario Wastewater Surveillance Initiative (WSI) Data and Visualization Hub
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Jun 27, 2024 - R
Local Kubeflow/KFP deployments and examples pipelines
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Jun 14, 2022 - Python
Kubeflow pipeline demo for MLOps purposes
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Jun 7, 2022 - Python
Kubeflow Pipelines v2 customer-support intent router fine-tuned on BANKING77
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Sep 1, 2026 - Python
This project hooks into Kubeflow processes increasing usability for on-prem usage
kubernetes machine-learning fabric8 certificates kubeflow kubeflow-pipelines kubernetes-admission-webhook kale
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Nov 26, 2020 - Java
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Nov 13, 2023 - Jupyter Notebook
GCP-vertex-AI
component dsl compiler-construction kubeflow-pipelines vertex-ai component-dsl dsl-pipeline dsl-condition
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Jan 18, 2026 - Jupyter Notebook
Intelligent contract automation platform - Vertex AI Pipelines orchestration, AI-powered document extraction, dual-source data reconciliation
portfolio google-cloud document-generation kubeflow-pipelines data-orchestration vertex-ai enterprise-automation contract-automation ai-extraction
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Jul 18, 2026
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May 5, 2023
A Federated Learning framework for distributed Digital Twins on Kubernetes. Simulates diverse robotic environments to collaboratively train a robust RL policy using PyTorch, Temporal, and Kubeflow Pipelines, with Karmada for multi-cluster federation and MLflow experiment tracking.
kubernetes reinforcement-learning pytorch k8s temporal local-cluster kind distributed-training federated-learning digital-twin kubeflow mlflow kubeflow-pipelines multi-cluster karmada
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Aug 28, 2026 - Python
End-to-end MLOps project in GCP. Trains and evaluates BERT transformer model to classify news articles into news categories.
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Aug 26, 2024 - Python
Iris classification using Random Forest Classifier demonstrating kubeflow pipelines
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Jun 12, 2023 - Jupyter Notebook
3-stage Kubeflow Pipelines (KFP v2) ML pipeline on Vertex AI: BigQuery extraction → feature engineering → scikit-learn model training with full artifact lineage tracking. Components run in isolated Docker containers.
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Jul 9, 2026 - Python
Passing Passing a variable(which can be used as parameter) generated from first container to next container to be used as parameter.
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Sep 15, 2019 - Python
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Jan 31, 2021 - Python
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