MXNet

MXNet

The Apache Software Foundation

About

A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

About

Use our generator to create a test script in JavaScript or CoffeeScript. Write script to set the request parameters and validate the response. Ping-API will run your test script on global servers in U.S., Japan, Germany and Singapore. Schedule testing to inspect your APIs. We will send the failure test information to you with email, Slack and HipChat. Ping-API allows you to write test script in JavaScript and CoffeeScript to test your APIs. Write script to set request url parameters, headers and body. And write script to validate response headers and body. Script generator. Don't worry about programming. Just set parameter of your API, the generator will give you test script. It is easy! The use case for web developers. Give me a notification when my web is down or the response is unexpected. Ping-API will schedule your tests in every minutes or hours. If the test is failure, we will send the notification to you.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and researchers requiring an open-source deep learning framework for research prototyping and production

Audience

Component Library solution for DevOps teams

Audience

Development teams or inviduals who want an API testing solution

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

$5 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 1.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org

Company Information

NumPy
numpy.org

Company Information

Ping-API
ping-api.com

Company Information

PyTorch
Founded: 2016
pytorch.org

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AWS Neuron

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Categories

Categories

Categories

Categories

Integrations

Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon Elastic Inference
Amazon SageMaker Unified Studio
Bayesforge
Cameralyze
Gemma
Google AI Edge
HStreamDB
Intel Tiber AI Studio
JFrog ML
Keepsake
NVIDIA DeepStream SDK
NVIDIA TensorRT
Segments.ai
SynapseAI
Vectice
Yandex Data Proc
ZenML

Integrations

Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon Elastic Inference
Amazon SageMaker Unified Studio
Bayesforge
Cameralyze
Gemma
Google AI Edge
HStreamDB
Intel Tiber AI Studio
JFrog ML
Keepsake
NVIDIA DeepStream SDK
NVIDIA TensorRT
Segments.ai
SynapseAI
Vectice
Yandex Data Proc
ZenML

Integrations

Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon Elastic Inference
Amazon SageMaker Unified Studio
Bayesforge
Cameralyze
Gemma
Google AI Edge
HStreamDB
Intel Tiber AI Studio
JFrog ML
Keepsake
NVIDIA DeepStream SDK
NVIDIA TensorRT
Segments.ai
SynapseAI
Vectice
Yandex Data Proc
ZenML

Integrations

Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon Elastic Inference
Amazon SageMaker Unified Studio
Bayesforge
Cameralyze
Gemma
Google AI Edge
HStreamDB
Intel Tiber AI Studio
JFrog ML
Keepsake
NVIDIA DeepStream SDK
NVIDIA TensorRT
Segments.ai
SynapseAI
Vectice
Yandex Data Proc
ZenML
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