quanjielin Goto Github PK
Name: Quanjie Lin
Type: User
Company: @google
Quanjie Lin's Projects
api
API, config and standard vocabulary definitions for the Istio project
csp-config-management
Anthos Config Management Examples
data-plane-api
[READ ONLY MIRROR] Envoy REST/proto API definitions and documentation.
docs
User documentation for Knative components
envoy
C++ front/service proxy
examples
A repository to host extended examples and tutorials
gke-networking-demos
This project presents a number of best practices for establishing network links between Kubernetes Engine clusters, and exposing cluster services across Google Cloud projects. You will use a set of Deployment Manager templates to create networks, subnets, vpn connections, and Kubernetes Engine clusters.
go-control-plane
Go implementation of data-plane-api
installer
A modular, a-la-carte installer for Istio components
internal-acls
Repository used to main group ACLs used by Kubeflow developers
istio
An open platform to connect, manage, and secure microservices.
istio.github.io
Source for the istio.io site
k8s-service-catalog
katib
Repository for hyperparameter tuning
kfserving
Serverless Inferencing on Kubernetes
kubeflow
Machine Learning Toolkit for Kubernetes
manifests
A repository for Kustomize manifests
metadata
Repository for assets related to Metadata.
models
Models and examples built with TensorFlow
operator
Istio operator provides user friendly options to operate the Istio service mesh
pipelines
Machine Learning Pipelines for Kubeflow
proxy
The Istio proxy components.
sagemaker-tensorflow-serving-container
A TensorFlow Serving solution for use in SageMaker.
service-catalog
Consume services in Kubernetes using the Open Service Broker API
serving
A flexible, high-performance serving system for machine learning models
tensorboard
TensorFlow's Visualization Toolkit
tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
test-infra
tf-dev-summit-tensorboard-tutorial
Code that accompanies my talk at TF Dev Summit 2016
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