dlwin | GPU-accelerated Deep Learning on Windows 10 native | Machine Learning library

by philferriere Python Version: Current License: No License

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

kandi X-RAY | dlwin Summary

dlwin is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras applications. dlwin has no bugs, it has no vulnerabilities and it has low support. However dlwin build file is not available. You can download it from GitHub.

GPU-accelerated Deep Learning on Windows 10 native (Keras/Tensorflow/CNTK/MXNet and PyTorch).

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Quality

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dlwin has a low active ecosystem.

It has 522 star(s) with 100 fork(s). There are 52 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 39 have been closed. On average issues are closed in 76 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dlwin is current.

Quality

dlwin has 0 bugs and 5 code smells.

Security

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

dlwin code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dlwin does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

dlwin has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

dlwin saves you 189 person hours of effort in developing the same functionality from scratch.

It has 466 lines of code, 8 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dlwin and discovered the below as its top functions. This is intended to give you an instant insight into dlwin implemented functionality, and help decide if they suit your requirements.

Execute the runner
Train the model
Evaluate the model
Execute the code of theano
Execute jobman job

Get all kandi verified functions for this library.

dlwin Key Features

No Key Features are available at this moment for dlwin.

dlwin Examples and Code Snippets

No Code Snippets are available at this moment for dlwin.

Community Discussions

Trending Discussions on dlwin

TensorFlow 1.0 does not see GPU on Windows (but Theano does)

QUESTION

TensorFlow 1.0 does not see GPU on Windows (but Theano does)

Asked 2017-Feb-26 at 22:08

I have a running installation of Keras & Theano on Windows (by following this tutorial). Now I've tried to switch the backend to Tensorflow which worked quite fine.

The only issue I have, is that Tensorflow does not detect my GPU, which Theano in contrast does:

...

ANSWER

Answered 2017-Feb-26 at 22:08

Installing both tensorflow and tensorflow-gpu on the same machine might cause issues at the moment.

Install either tensorflow (for cpu only) or tensorflow-gpu (for gpu only) for version 1.0

Source https://stackoverflow.com/questions/42473052

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

Vulnerabilities

No vulnerabilities reported

Install dlwin

You can download it from GitHub.
You can use dlwin 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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