Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Pricing Details
$0.25 per GB
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No