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KSERVE

KServe is a highly scalable and standards based Model Inference Platform on Kubernetes for Trusted AI. It is hosted in Incubation in LF AI & Data Foundation.

139 followers
info@lfaidata.foundation

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kserve kserve Public

Standardized Serverless ML Inference Platform on Kubernetes

Python 3.1k 962
modelmesh-serving modelmesh-serving Public

Controller for ModelMesh

Go 182 103
website website Public

User documentation for KServe.

HTML 103 101
models-web-app models-web-app Public

KServe models web UI

TypeScript 28 34
community community Public

KServe community docs for contributions and process

Python 7 3

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Showing 10 of 13 repositories

kserve Public
Standardized Serverless ML Inference Platform on Kubernetes

Python 3,080 Apache-2.0 962 342 (4 issues need help) 56 Updated May 5, 2024
modelmesh-minio-examples Public
ModelMesh example models packaged into a MinIO container for user exploration and functional verification testing

Dockerfile 1 Apache-2.0 15 1 2 Updated May 1, 2024
modelmesh-serving Public
Controller for ModelMesh

Go 182 Apache-2.0 103 77 (6 issues need help) 4 Updated Apr 30, 2024
website Public
User documentation for KServe.

HTML 103 Apache-2.0 101 30 (3 issues need help) 8 Updated Apr 29, 2024
models-web-app Public
KServe models web UI

TypeScript 28 Apache-2.0 34 22 9 Updated Apr 29, 2024
rest-proxy Public
KServe V2 Protocol Rest API Implementation Proxy

Go 7 Apache-2.0 27 3 0 Updated Apr 22, 2024
modelmesh-runtime-adapter Public
Unified runtime-adapter image of the sidecar containers which run in the modelmesh pods

Go 19 Apache-2.0 49 10 (3 issues need help) 2 Updated Apr 22, 2024
modelmesh Public
Distributed Model Serving Framework

Java 134 Apache-2.0 55 11 2 Updated Apr 22, 2024
community Public
KServe community docs for contributions and process

Python 7 Apache-2.0 3 2 0 Updated Feb 21, 2024
open-inference-protocol Public
Repository for open inference protocol specification

34 Apache-2.0 9 9 0 Updated Feb 6, 2024

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Go Python Java TypeScript Dockerfile

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hacktoberfest hacktoberfest2023 machine-learning mlops

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