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What is MXNet?

A versatile front-end seamlessly transitions between Gluon’s eager imperative mode and symbolic mode, providing both flexibility and rapid execution. The framework facilitates scalable distributed training while optimizing performance for research endeavors and practical applications through its integration of dual parameter servers and Horovod. It boasts impressive compatibility with Python and also accommodates languages such as Scala, Julia, Clojure, Java, C++, R, and Perl. With a diverse ecosystem of tools and libraries, MXNet supports various applications, ranging from computer vision and natural language processing to time series analysis and beyond. Currently in its incubation phase at The Apache Software Foundation (ASF), Apache MXNet is under the guidance of the Apache Incubator. This essential stage is required for all newly accepted projects until they undergo further assessment to verify that their infrastructure, communication methods, and decision-making processes are consistent with successful ASF projects. Engaging with the MXNet scientific community not only allows individuals to contribute actively but also to expand their knowledge and find solutions to their challenges. This collaborative atmosphere encourages creativity and progress, making it an ideal moment to participate in the MXNet ecosystem and explore its vast potential. As the community continues to grow, new opportunities for innovation are likely to emerge, further enriching the field.

What is MInD Platform?

Through our MIND platform, we develop customized solutions designed to meet your unique challenges. Following this, we offer training for your team to effectively manage these solutions and make necessary adjustments to the underlying models. A diverse array of industries, including industrial, medical, and consumer services, utilizes our offerings to automate processes that once depended heavily on human effort; tasks such as performing visual inspections for product quality, ensuring food sector quality assurance, counting and categorizing biological cells or chromosomes in research, assessing performance in gaming, measuring geometric parameters like position, size, profile, distance, and angle, monitoring agricultural products, and executing time series analyses in both healthcare and sports. The advanced functionalities of our MIND platform enable businesses to effortlessly create comprehensive AI solutions that are tailored to their specific requirements. This platform provides all the critical tools needed for each of the five phases involved in developing deep learning solutions, facilitating a streamlined and effective development experience. By harnessing the capabilities of our MIND platform, companies can stay ahead in an ever-changing technological environment, ultimately driving innovation and success. Our commitment is to ensure that your business not only adapts but thrives in this fast-paced digital era.

Media

Media

Integrations Supported

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon Elastic Inference
Amazon SageMaker Debugger
Amazon SageMaker Model Building
Cameralyze
Flower
GPUonCLOUD
Google Cloud Deep Learning VM Image
Gradient
Guild AI
Horovod
LeaderGPU
MLReef
NVIDIA Triton Inference Server

Integrations Supported

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon Elastic Inference
Amazon SageMaker Debugger
Amazon SageMaker Model Building
Cameralyze
Flower
GPUonCLOUD
Google Cloud Deep Learning VM Image
Gradient
Guild AI
Horovod
LeaderGPU
MLReef
NVIDIA Triton Inference Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

mxnet.apache.org

Company Facts

Organization Name

Machine Intelligence

Company Location

Hungary

Company Website

mi.services

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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