MXNet

MXNet

The Apache Software Foundation
+

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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

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.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

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

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

Audience

Developers interested in a beautiful but advanced programming language

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

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
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

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Reviews/Ratings

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 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

Company Information

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

Company Information

PyTorch
Founded: 2016
pytorch.org

Company Information

Python
Founded: 1991
www.python.org

Alternatives

Caffe

Caffe

BAIR

Alternatives

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
MXNet

MXNet

The Apache Software Foundation
Ruby

Ruby

Ruby Language
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Categories

Integrations

AWS Marketplace
Activeeon ProActive
Amazon SageMaker Model Building
Flower
Horovod
.NET Aspire
Athina AI
Banana
CodeSession
Cosine Genie
DevCycle
Firepad
Frameium
GPUEater
GuardRails
Literal AI
Llama 4 Behemoth
Salience
Tecton
WebCrawlerAPI

Integrations

AWS Marketplace
Activeeon ProActive
Amazon SageMaker Model Building
Flower
Horovod
.NET Aspire
Athina AI
Banana
CodeSession
Cosine Genie
DevCycle
Firepad
Frameium
GPUEater
GuardRails
Literal AI
Llama 4 Behemoth
Salience
Tecton
WebCrawlerAPI

Integrations

AWS Marketplace
Activeeon ProActive
Amazon SageMaker Model Building
Flower
Horovod
.NET Aspire
Athina AI
Banana
CodeSession
Cosine Genie
DevCycle
Firepad
Frameium
GPUEater
GuardRails
Literal AI
Llama 4 Behemoth
Salience
Tecton
WebCrawlerAPI
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