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PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
19,871
companies
Technology
is any of
PyTorch
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Computers And Electronics Manufacturing | 293K |
| ![]() PyTorch | |
United States | Software Development | 121K |
| ![]() PyTorch | |
United States | Entertainment Providers | 69K | $4.6B | ![]() PyTorch | |
United States | Software Development | 233K | $198B | ![]() PyTorch | |
United States | Semiconductor Manufacturing | 40K | $23B | ![]() PyTorch | |
United States | Software Development | 746 | $12M | ![]() PyTorch | |
United States | It Services And It Consulting | 312K | $61B | ![]() PyTorch | |
Germany | Non-Profit Organizations | 10K | $42M | ![]() PyTorch | |
United States | Telecommunications | 45K | $44B | ![]() PyTorch | |
United States | Research Services | 5.8K | $57M | ![]() PyTorch | |
China | Software Development | 42K | $62B | ![]() PyTorch | |
United States | Financial Services | 56K | $36B | ![]() PyTorch |
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We have data on 19,871 companies that use PyTorch. Our PyTorch customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
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Technoloy Usage Stadistics and Market Share
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PyTorch is used in 104 countries
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
PyTorch is a cutting-edge open-source deep learning platform that provides maximum flexibility and speed. Developed by Facebook's AI Research lab (FAIR), PyTorch offers a seamless transition from prototyping to production. Its dynamic computation graph structure allows for easy debugging and iterative development, making it a popular choice among researchers and practitioners in the machine learning community.
PyTorch falls under the category of Machine Learning Tools, specifically catering to neural network development and training. It supports dynamic computation graphs, making it easier to work with data compared to static computation graphs. PyTorch's flexibility and ease of use have attracted a wide range of users, from academia to industry, seeking to implement cutting-edge machine learning models with relative ease and speed.
Founded in 2016 by the Facebook AI Research lab, PyTorch was created to address the limitations of existing deep learning frameworks and provide a more intuitive and flexible platform for researchers and developers. The motivation behind PyTorch's development was to offer a tool that simplifies the process of building and training complex neural networks while maintaining high performance and efficiency. Over the years, PyTorch has evolved into a go-to choice for many machine learning enthusiasts due to its user-friendly interface and robust capabilities.
Currently, PyTorch maintains a notable market share within the Machine Learning Tools category, with a growing community and a strong presence in both academia and industry. Its user-friendly design and efficient performance have contributed to its widespread adoption. With the increasing demand for advanced machine learning solutions across various sectors, PyTorch is expected to continue its growth trajectory and solidify its position as a leading deep learning framework in the foreseeable future.
You can access an updated list of companies using PyTorch by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 19,871 companies that use PyTorch.
PyTorch is used by a diverse range of organizations across various industries, including "Computers And Electronics Manufacturing", "Software Development", "Entertainment Providers", "Software Development", "Semiconductor Manufacturing", "Software Development", "It Services And It Consulting", "Non-Profit Organizations", "Telecommunications", "Research Services". For a comprehensive list of all industries utilizing PyTorch, please visit TheirStack.com.
Some of the companies that use PyTorch include Apple, Meta, TikTok, Microsoft, AMD, Dice, IBM, Fraunhofer-Gesellschaft, Qualcomm, Oak Ridge National Laboratory and many more. You can find a complete list of 19,871 companies that use PyTorch on TheirStack.com.
Based on our data, PyTorch is most popular in United States (5,670 companies), United Kingdom (1,171 companies), Germany (591 companies), India (590 companies), France (457 companies), Canada (447 companies), Spain (348 companies), Netherlands (164 companies), Brazil (153 companies), Singapore (152 companies). However, it is used by companies all over the world.
You can find companies using PyTorch by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.
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