djinn | Deep Neural Networks as a Service | Machine Learning library

by claritylab C++ Version: v1.0 License: Non-SPDX

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kandi X-RAY | djinn Summary

djinn is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. djinn has no bugs, it has no vulnerabilities and it has low support. However djinn has a Non-SPDX License. You can download it from GitHub.

DjiNN and Tonic is a Deep Neural Network (DNN) based web-service to execute DNN inference. Visit the DjiNN and Tonic website for additional documentation. Also visit or post to djinn-users for more information and answers to questions. The project is released under BSD license, except certain submodules contain their own specific licensing information. We would love to have your help on improving DjiNN, and see CONTRIBUTING for more details.

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Support

djinn has a low active ecosystem.

It has 48 star(s) with 48 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of djinn is v1.0

Quality

djinn has no bugs reported.

Security

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

License

djinn 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.

Reuse

djinn releases are available to install and integrate.

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djinn Key Features

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djinn Examples and Code Snippets

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Community Discussions

Trending Discussions on djinn

Problems configuring Haskell (stack) for Atom (atom-haskell)

QUESTION

Problems configuring Haskell (stack) for Atom (atom-haskell)

Asked 2020-Apr-01 at 00:53

I have no idea about haskell and am trying to setup stack(static)2.1.3-3 to work with the atom-haskell package in Atom 1.45 on linux, but it is not working.

The installation of atom-haskell created 2 error messages: -Failed to activate the ide-haskell package, Results already connected! The error was thrown from the ide-haskell-package. The issue has already been reported. (github.com/atom-haskell/ide-haskell/issues/138) -Atom couldn't find ghcmod executable

So I looked at https://atom.io/packages/atom-haskell and learnt that to set up the binaries I have to use

stack install ghc-mod hoogle hasktags pointfree pointful cabal-install

But that is not working:

...

ANSWER

Answered 2020-Apr-01 at 00:53

If trying to set up the binaries for the atom-haskell package (or applicable dependencies), I was able to successfully install the dependencies by using different long term support stack versions. For ghc-mod, hoogle, pointful, and cabal-install I used lts-9.21 and for hasktags, pointfree, and brittany I used lts-11.22 =>

Source https://stackoverflow.com/questions/60646553

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

Vulnerabilities

No vulnerabilities reported

Install djinn

You can download it from GitHub.

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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