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pytorch | Dynamic neural networks in Python with strong GPU acceleration | Machine Learning library

 by   pytorch C++ Version: v1.11.0 License: Non-SPDX

 by   pytorch C++ Version: v1.11.0 License: Non-SPDX

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kandi X-RAY | pytorch Summary

pytorch is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Numpy applications. pytorch has no bugs, it has no vulnerabilities and it has medium support. However pytorch has a Non-SPDX License. You can download it from GitHub.
At a granular level, PyTorch is a library that consists of the following components:.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • pytorch has a medium active ecosystem.
  • It has 55457 star(s) with 15388 fork(s). There are 1597 watchers for this library.
  • There were 1 major release(s) in the last 6 months.
  • There are 7993 open issues and 17517 have been closed. On average issues are closed in 149 days. There are 3219 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of pytorch is v1.11.0
pytorch Support
Best in #Machine Learning
Average in #Machine Learning
pytorch Support
Best in #Machine Learning
Average in #Machine Learning

quality kandi Quality

  • pytorch has 0 bugs and 0 code smells.
pytorch Quality
Best in #Machine Learning
Average in #Machine Learning
pytorch Quality
Best in #Machine Learning
Average in #Machine Learning

securitySecurity

  • pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • pytorch code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
pytorch Security
Best in #Machine Learning
Average in #Machine Learning
pytorch Security
Best in #Machine Learning
Average in #Machine Learning

license License

  • pytorch has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
pytorch License
Best in #Machine Learning
Average in #Machine Learning
pytorch License
Best in #Machine Learning
Average in #Machine Learning

buildReuse

  • pytorch releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
  • It has 497661 lines of code, 39721 functions and 2295 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
pytorch Reuse
Best in #Machine Learning
Average in #Machine Learning
pytorch Reuse
Best in #Machine Learning
Average in #Machine Learning
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pytorch Key Features

A replacement for NumPy to use the power of GPUs.

A deep learning research platform that provides maximum flexibility and speed.

pytorch Examples and Code Snippets

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install pytorch

Commands to install binaries via Conda or pip wheels are on our website: https://pytorch.org/get-started/locally/.
Stable binaries: Python 3.6: https://nvidia.box.com/v/torch-stable-cp36-jetson-jp42
Rolling weekly binaries: Python 3.6: https://nvidia.box.com/v/torch-weekly-cp36-jetson-jp42
Three-pointers to get you started:.
Tutorials: get you started with understanding and using PyTorch
Examples: easy to understand PyTorch code across all domains
The API Reference
Glossary

Support

To build documentation in various formats, you will need Sphinx and the readthedocs theme. You can then build the documentation by running make <format> from the docs/ folder. Run make to get a list of all available output formats. If you get a katex error run npm install katex. If it persists, try npm install -g katex.

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