ViijayScript: List of Open Source Projects on Cloud by Google Part 3

Saturday 23 June 2018

List of Open Source Projects on Cloud by Google Part 3


Hello netizens, On this post, I am going to share List of Open Source Projects on Cloud by Google Part 3


1.Encrypted BigQuery Client


Encrypted BigQuery Client is an experimental extension of Google’s BigQuery client where data may be encrypted on the client before being stored in BigQuery. Furthermore, a subset of BigQuery’s server functionality is offered over encrypted data.


Project Details of Encrypted BigQuery Client

2.Firebase SDK


Firebase is an app development platform that provides integrated tools to help you build, grow and monetize your apps. The Firebase SDK enables access to the Firebase services in an intuitive and idiomatic manner on several platforms.


Project Details of Firebase SDK

3.Forseti Security


Forseti Security helps you secure your Google Cloud Platform organization.Takes a snapshot of resources on a recurring cadence, so you always have a history of what was in your cloud.Scans your GCP resources to ensure that access controls are set as you intended and protects against unsafe changes.For the most important policies, provide enforced correction to ensure the safest settings on GCP resources.


Project Details of Forseti Security

4.Ganeti


Ganeti is a cluster management tool built on top of existing virtualization technologies such as Xen, KVM, and other open source software. It is designed to facilitate cluster management and to provide fast and simple recovery after physical failures using commodity hardware.


Project Details of Ganeti

5.GenerativeML On Cloud


Generative Machine Learning on the Cloud is a cloud based tool to aid in generative art and synthetic image generation. The end to end system design allows a user to have a custom dataset of images to train a Variational Autoencoder Generative Adversarial Network (VAE-GAN) model on Cloud ML. From here, their model is deployed to the cloud, where they can input an embedding to have synthetic images generated from their dataset or input an image to get an embedding vector. This tool uses the Google Cloud Machine Learning API and Tensorflow.


Project Details of GenerativeML On Cloud



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