What is PyTorch?

Seamlessly transition between eager and graph modes with TorchScript, while expediting your production journey using TorchServe. The torch-distributed backend supports scalable distributed training, boosting performance optimization in both research and production contexts. A diverse array of tools and libraries enhances the PyTorch ecosystem, facilitating development across various domains, including computer vision and natural language processing. Furthermore, PyTorch's compatibility with major cloud platforms streamlines the development workflow and allows for effortless scaling. Users can easily select their preferences and run the installation command with minimal hassle. The stable version represents the latest thoroughly tested and approved iteration of PyTorch, generally suitable for a wide audience. For those desiring the latest features, a preview is available, showcasing the newest nightly builds of version 1.10, though these may lack full testing and support. It's important to ensure that all prerequisites are met, including having numpy installed, depending on your chosen package manager. Anaconda is strongly suggested as the preferred package manager, as it proficiently installs all required dependencies, guaranteeing a seamless installation experience for users. This all-encompassing strategy not only boosts productivity but also lays a solid groundwork for development, ultimately leading to more successful projects. Additionally, leveraging community support and documentation can further enhance your experience with PyTorch.

Screenshots and Video

PyTorch Screenshot 1

Company Facts

Company Name:
PyTorch
Date Founded:
2016
Company Website:
pytorch.org

Product Details

Deployment
Windows
Mac
Linux
iPhone
iPad
Android
Training Options
Documentation Hub
Webinars
Video Library
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

PyTorch Categories and Features

Machine Learning Software

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

PyTorch Customer Reviews

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  • Reviewer Name: A Verified Reviewer
    Position: Principal Software Engineer
    Has used product for: Less than 6 months
    Uses the product: Yearly
    Org Size (# of Employees): 100 - 499
    Feature Set
    Layout
    Ease Of Use
    Cost
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    Would you 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

    Read More...
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