PyTorch Description

Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development.

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Integrations

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Company Details

Company:
PyTorch
Year Founded:
2016
Website:
pytorch.org

Media

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Product Details

Platforms
Windows
Mac
Linux
iPhone App
iPad App
Android App
Types of Training
Training Docs
Webinars
Training Videos
Customer Support
Online Support

PyTorch Features and Options

Machine Learning Software

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

PyTorch User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Yearly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great open source machine learning framework

    Date: Aug 03 2022

    Summary: PyTorch is a great machine learning framework that is both flexible and fast. It's highly customizable and free, but very complicated to learn.

    Positive: - creates dynamic neural networks in Python
    - GPU acceleration compatible
    - easy transition between eager and graph modes
    - scalable across distributed computing networks
    - excellent documentation and community
    - very flexible and fast machine learning
    - free and open source

    Negative: - very high learning curve
    - requires significant power to run any sort of computation

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