Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Apache Axiom™ library offers an implementation of an XML Infoset compliant object model that enables the on-demand construction of an object tree. It features an innovative "pull-through" model that permits users to disable tree construction and directly utilize the underlying pull event stream through the StAX API. Additionally, it incorporates support for XML Optimized Packaging (XOP) and MTOM, allowing XML to efficiently and transparently handle binary data. This combination results in an easy-to-use API backed by a highly efficient architecture. Originally developed as part of Apache Axis2, Apache Axiom serves as the foundation of Apache Axis2; nonetheless, it stands alone as a unique XML Infoset model with advanced functionalities, making it suitable for independent use without reliance on Apache Axis2. Overall, its design principles prioritize efficiency and flexibility for developers working with XML data.
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
No
API Access
Has API
Yes
Integrations
AWS Elastic Fabric Adapter (EFA)
No
AWS Marketplace
No
Amazon EC2 Inf1 Instances
No
Amazon EC2 P4 Instances
No
Amazon Elastic Inference
No
Amazon SageMaker Debugger
No
Amazon SageMaker Model Building
No
Cameralyze
No
CrowdSec
Yes
Flower
No
Integrations
AWS Elastic Fabric Adapter (EFA)
Yes
AWS Marketplace
Yes
Amazon EC2 Inf1 Instances
Yes
Amazon EC2 P4 Instances
Yes
Amazon Elastic Inference
Yes
Amazon SageMaker Debugger
Yes
Amazon SageMaker Model Building
Yes
Cameralyze
Yes
CrowdSec
No
Flower
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
The Apache Software Foundation
Founded
1999
Country
United States
Website
ws.apache.org/axiom/
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
mxnet.apache.org
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No