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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

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

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

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

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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 4.5 / 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

Company Information

PyTorch
Founded: 2016
pytorch.org

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

Vertex AI

Vertex AI

Google
Core ML

Core ML

Apple
Create ML

Create ML

Apple
MXNet

MXNet

The Apache Software Foundation

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

AWS Marketplace
Amazon EC2 Capacity Blocks for ML
Amazon SageMaker Model Building
Amazon SageMaker Model Training
Amazon SageMaker Studio Lab
Cleanlab
DagsHub
Flower
GPUEater
Google Cloud Deep Learning VM Image
Gradient
Guild AI
IBM Distributed AI APIs
Keepsake
Lightly
NeevCloud
PostgresML
Runyour AI
Segments.ai
spaCy

Integrations

AWS Marketplace
Amazon EC2 Capacity Blocks for ML
Amazon SageMaker Model Building
Amazon SageMaker Model Training
Amazon SageMaker Studio Lab
Cleanlab
DagsHub
Flower
GPUEater
Google Cloud Deep Learning VM Image
Gradient
Guild AI
IBM Distributed AI APIs
Keepsake
Lightly
NeevCloud
PostgresML
Runyour AI
Segments.ai
spaCy
Claim PyTorch and update features and information
Claim PyTorch and update features and information
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information