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Awesome GitHub RepositoriesInference Graph Ensembles

Orchestrates multiple models into inference graphs for chaining and ensemble operations.

Distinct from Model Ensembling: Distinct from Model Ensembling: focuses on graph-based orchestration of ensembles within inference pipelines rather than general model combination techniques.

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Awesome Inference Graph Ensembles GitHub Repositories

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  • kubeflow/kfservingالصورة الرمزية لـ kubeflow

    kubeflow/kfserving

    5,576عرض على GitHub↗

    KServe is an open platform for deploying and serving generative and predictive AI models on Kubernetes. It defines inference services as custom resources with declarative YAML specifications, enabling a Kubernetes-native approach to model deployment and lifecycle management. The platform leverages Knative-based serverless scaling for automatic scale-to-zero and revision management, and supports a pluggable serving runtime architecture that maps model formats to containerized execution environments. KServe distinguishes itself through model-aware autoscaling that scales replicas based on token

    Orchestrates multiple models into inference graphs for chaining and ensemble operations.

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    عرض على GitHub↗5,576
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  2. Artificial Intelligence & ML
  3. Model Optimization
  4. Compression Techniques
  5. Model Ensembling
  6. Inference Graph Ensembles