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Average Ratings 0 Ratings

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ease
features
design
support

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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.

Description

alwaysAI offers a straightforward and adaptable platform for developers to create, train, and deploy computer vision applications across a diverse range of IoT devices. You can choose from an extensive library of deep learning models or upload your custom models as needed. Our versatile and customizable APIs facilitate the rapid implementation of essential computer vision functionalities. You have the capability to quickly prototype, evaluate, and refine your projects using an array of camera-enabled ARM-32, ARM-64, and x86 devices. Recognize objects in images by their labels or classifications, and identify and count them in real-time video streams. Track the same object through multiple frames, or detect faces and entire bodies within a scene for counting or tracking purposes. You can also outline and define boundaries around distinct objects, differentiate essential elements in an image from the background, and assess human poses, fall incidents, and emotional expressions. Utilize our model training toolkit to develop an object detection model aimed at recognizing virtually any object, allowing you to create a model specifically designed for your unique requirements. With these powerful tools at your disposal, you can revolutionize the way you approach computer vision projects.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

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 
Flower Yes 
GPUonCLOUD Yes 
Google Cloud Deep Learning VM Image Yes 
Gradient Yes 
Guild AI Yes 
Horovod Yes 
LeaderGPU Yes 
MLReef Yes 
NVIDIA Triton Inference Server Yes 
Trakwell.ai No 

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 
Flower No 
GPUonCLOUD No 
Google Cloud Deep Learning VM Image No 
Gradient No 
Guild AI No 
Horovod No 
LeaderGPU No 
MLReef No 
NVIDIA Triton Inference Server No 
Trakwell.ai 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 Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
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) Yes 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

mxnet.apache.org

Vendor Details

Company Name

alwaysAI

Founded

2018

Country

United States

Website

alwaysai.co

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 

Product Features

Computer Vision

Blob Detection & Analysis No 
Building Tools No 
Image Processing No 
Multiple Image Type Support No 
Reporting / Analytics Integration No 
Smart Camera Integration No 

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

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Alternatives

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