cupolaai
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opendatahub-operator
opendatahub-operator PublicForked from opendatahub-io/opendatahub-operator
Open Data Hub operator to manage ODH component integrations
Go
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data-science-pipelines-operator
data-science-pipelines-operator PublicForked from opendatahub-io/data-science-pipelines-operator
Go
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pipelines
pipelines PublicForked from kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
Python
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argo-workflows
argo-workflows PublicForked from argoproj/argo-workflows
Workflow Engine for Kubernetes
Go
Repositories
- llama-stack-provider-trustyai-garak Public Forked from trustyai-explainability/llama-stack-provider-trustyai-garak
Out-Of-Tree Llama Stack Eval Provider for Red Teaming LLM Systems with Garak
- trustyai-service-operator Public Forked from trustyai-explainability/trustyai-service-operator
TrustyAI's Kubernetes operator
- kserve Public Forked from kserve/kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
- kuadrant-operator Public Forked from Kuadrant/kuadrant-operator
The Operator to install and manage the lifecycle of the Kuadrant components deployments.
- trainer Public Forked from kubeflow/trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
- hub Public Forked from kubeflow/hub
Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.
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- mlflow Public Forked from mlflow/mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
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