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) |
