labml | Monitor PyTorch model training on mobile phones | Machine Learning library

by lab-ml Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | labml Summary

labml is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. labml has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install labml' or download it from GitHub, PyPI.

Monitor PyTorch model training on mobile phones

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Quality

Security

License

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Support

labml has a low active ecosystem.

It has 242 star(s) with 22 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of labml is current.

Quality

labml has no bugs reported.

Security

labml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

labml is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

labml releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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labml Key Features

No Key Features are available at this moment for labml.

labml Examples and Code Snippets

No Code Snippets are available at this moment for labml.

Community Discussions

Trending Discussions on labml

Json.net deserialize complex object with concurrent collection in composition

QUESTION

Json.net deserialize complex object with concurrent collection in composition

Asked 2018-Jan-26 at 19:40

I have a class like this:

...

ANSWER

Answered 2018-Jan-26 at 19:40

Update

As of Release 10.0.3, Json.NET claims to correctly serialize ConcurrentBag. According to the release notes:

Fix - Fixed serializing ConcurrentStack/Queue/Bag

Original Answer

As you surmise, the problem is that ConcurrentBag implements ICollection and IEnumerable but not ICollection so Json.NET does not know how to add items to it and treats it as a read-only collection. While ConcurrentBag does have a parameterized constructor taking an input collection, Json.NET will not use that constructor because it also, internally, has [OnSerializing] and [OnDeserialized] callbacks. Json.NET will not use a parameterized constructor when these callbacks are present, instead throwing an exception

Source https://stackoverflow.com/questions/42836648

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install labml

You can install using 'pip install labml' or download it from GitHub, PyPI.
You can use labml like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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