MACHINE LEARNING
INFRASTRUCTURE
OPEN API BUILDING WITH OPEN SOURCE AND OPEN API
The Rove Analytics platform is developed 100% API first, which means that everything in the platform can be accessed by an open API. You're still in control. Integrate, orchestrate and perform offline backups of your data and metadata via the API.
OPEN STANDARDS
Rove Analytics is built on top of open standards and technologies, Docker and Kubernetes to REST APIs standard settings that make it easy and safe to extend for anyone. Let your data science team choose the software environment on which they want to run their experiments, select their running hardware and run the hit-run.
OPEN SOURCE
Many parts of Rove Analytics are open source so you can integrate and at best add features to the tools. No matter if you run against cloud Rove Analytics Inc. , your own cloud or on your own site, you will use the same tools.
OPEN FOR INTEGRATIONS
We believe that scientists need to be given the tools to be productive, but that they need to be allowedto use the frameworks and languages with which they are already comfortable to make the learning curve as smooth as possible. The use of a frame in any programming language of your choice.
BASIC COMPONENTS
Rove Analytics-cli
The most commonly used way to run runs on the Rove Analytics Platform Inc. Submit withdrawal requests or report problems. This is also the main reference on how to use the Rove Analytics API is built on.
Rove Analytics-yaml
Rove Analytics analyzes and validates the project configuration file. Have you ever thought about building your own local Rove analytics clone small executions? Use the Rove Analytics platform to make sure your project configuration is interpreted the way it is.
Rove Analytics-local-run
Run experiments designed for Rove Analytics on your Local Linux hardware. Can be used in Terminal environments where execution is necessary for example for transfer learning on confidential content.
INTEGRATION EXAMPLES
tensorflow-example
Handwritten digital detection using Tensorflow and the MNIST data set.
darknet-example
Examples of Darknet for the platform Rove Analytics
r-example
R examples using the official r-base Docker image.
unity-example
Run stand-alone unity binaries in combination with machine learning frameworks.
pocketflow-example
Pocketflow example repository for Rove Analytics platform.
cntk-example
Microsoft Cognitive Toolkit repository.
airflow-example
A branch of Apache allowing you to orchestrate ML pipelines through Rove Analytics
OTHER OPEN SOURCE PROJECTS
openssh-key
Tools to deal with OpenSSH2 keys in as pure Python 3 as possible.
ml-logos
A wide collection of SVG graphics of machine learning framework logos.