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Description
GitHub Packages allows you to publish and consume packages securely, whether within your organization or for a global audience. By utilizing standard package managers along with native commands, you can seamlessly authenticate and publish your packages directly to GitHub. It's essential to comprehend and install package contents safely while sourcing them from the community on GitHub, ensuring that only approved packages are utilized within your organization. All your packages can be stored in a secure environment alongside your source code, safeguarded by your GitHub credentials. Additionally, with comprehensive API and webhook support, your workflows can be enhanced to integrate smoothly with GitHub Packages. The platform employs advanced edge caching through a global CDN, ensuring optimal performance regardless of your build locations. Moreover, you can leverage Actions to automate the publication of new package versions to GitHub Packages, facilitating smoother CI/CD processes. This enables you to install packages and images not only from GitHub Packages but also from your preferred registry, thereby enriching your development experience. By consolidating packaging and source control under one roof, GitHub Packages streamlines collaboration and enhances productivity across teams.
Description
HPE Ezmeral ML Ops offers a suite of integrated tools designed to streamline machine learning workflows throughout the entire ML lifecycle, from initial pilot stages to full production, ensuring rapid and agile operations akin to DevOps methodologies. You can effortlessly set up environments using your choice of data science tools, allowing you to delve into diverse enterprise data sources while simultaneously testing various machine learning and deep learning frameworks to identify the most suitable model for your specific business challenges. The platform provides self-service, on-demand environments tailored for both development and production tasks. Additionally, it features high-performance training environments that maintain a clear separation between compute and storage, enabling secure access to shared enterprise data, whether it resides on-premises or in the cloud. Moreover, HPE Ezmeral ML Ops supports source control through seamless integration with popular tools like GitHub. You can manage numerous model versions—complete with metadata—within the model registry, facilitating better organization and retrieval of your machine learning assets. This comprehensive approach not only optimizes workflow management but also enhances collaboration among teams.
API Access
Has API
API Access
Has API
Pricing Details
$0.25 per GB
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GitHub
Country
United States
Website
github.com/features/packages
Vendor Details
Company Name
Hewlett Packard Enterprise
Founded
2015
Country
United States
Website
www.hpe.com/us/en/solutions/ezmeral-machine-learning-operations.html
Product Features
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization