KFServing
swMATH ID: | 37567 |
Software Authors: | Authors, The Kubeflow; Sun, Dan; et al. |
Description: | Model serving using KFServing. KFServing enables serverless inferencing on Kubernetes and provides performant, high abstraction interfaces for common machine learning (ML) frameworks like TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX to solve production model serving use cases. |
Homepage: | https://www.kubeflow.org/docs/components/serving/kfserving/ |
Source Code: | https://github.com/kubeflow/kfserving |
Related Software: | TensorFlow; AI Explainability 360; ART; Katib; Jupyter; Kubernetes; Elyra; AIF360; CLAIMED; Seldon Core; Alibi Explain; iNNvestigate; Alibi; Captum; InterpretML; Ray; GitHub; PyTorch; Python |
Cited in: | 1 Document |
Cited by 4 Authors
1 | Coca, Alexandru |
1 | Klaise, Janis |
1 | Vacanti, Giovanni |
1 | van Looveren, Arnaud |
Cited in 1 Serial
1 | Journal of Machine Learning Research (JMLR) |
Cited in 1 Field
1 | Computer science (68-XX) |