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Description
Taverna offers a versatile set of tools for crafting and running data-centric workflows without being linked to a specific field. The Apache Incubator Project aims to ease the process of incorporating valid new code bases and community initiatives into the Apache Software Foundation. Each month, the Incubator Project Management Committee (PMC) is required to update the ASF Board of Directors. This process involves incubating projects generating their own status reports, which are then forwarded to the Incubator PMC for consolidation and feedback. Mentors play a crucial role in assisting with the report's drafting. After submitting a podling report, the Incubator PMC and designated Incubator Shepherds will evaluate it and offer necessary feedback. Following the review of all podling reports, the chair of the Incubator PMC will compile a comprehensive report along with a concise summary to present to the ASF Board. This systematic approach ensures that all projects receive the support they need to thrive within the Apache community.
Description
A hybrid front-end efficiently switches between Gluon eager imperative mode and symbolic mode, offering both adaptability and speed. The framework supports scalable distributed training and enhances performance optimization for both research and real-world applications through its dual parameter server and Horovod integration. It features deep compatibility with Python and extends support to languages such as Scala, Julia, Clojure, Java, C++, R, and Perl. A rich ecosystem of tools and libraries bolsters MXNet, facilitating a variety of use-cases, including computer vision, natural language processing, time series analysis, and much more. Apache MXNet is currently in the incubation phase at The Apache Software Foundation (ASF), backed by the Apache Incubator. This incubation stage is mandatory for all newly accepted projects until they receive further evaluation to ensure that their infrastructure, communication practices, and decision-making processes align with those of other successful ASF initiatives. By engaging with the MXNet scientific community, individuals can actively contribute, gain knowledge, and find solutions to their inquiries. This collaborative environment fosters innovation and growth, making it an exciting time to be involved with MXNet.
API Access
Has API
API Access
Has API
Integrations
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon Elastic Inference
Amazon SageMaker Debugger
Amazon SageMaker Model Building
Cameralyze
Flower
Integrations
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon Elastic Inference
Amazon SageMaker Debugger
Amazon SageMaker Model Building
Cameralyze
Flower
Pricing Details
No price information available.
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
Apache Software Foundation
Country
United States
Website
www.apache.org
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
mxnet.apache.org
Product Features
Workflow Management
Access Controls/Permissions
Approval Process Control
Business Process Automation
Calendar Management
Compliance Tracking
Configurable Workflow
Customizable Dashboard
Document Management
Forms Management
Graphical Workflow Editor
Mobile Access
No-Code
Task Management
Third Party Integrations
Workflow Configuration
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization