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

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

Quality

Security

License

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

security Security

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

build Reuse

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.