kserve/kserve

Standardized Serverless ML Inference Platform on Kubernetes

PythonGoShellOtherkubernetesmachine-learningtensorflowsklearnpytorchartificial-intelligencexgboostk8sservice-meshhacktoberfestistiomodel-servingkubeflowmlopsknativemodel-interpretabilitykubeflow-pipelinesmlops-communitykservehacktoberfest2023
This is stars and forks stats for /kserve/kserve repository. As of 25 Apr, 2024 this repository has 2516 stars and 842 forks.

KServe KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary...
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