genn | enhanced Neuronal Network simulation environment | GPU library

 by   genn-team C++ Version: 4.8.1 License: GPL-2.0

kandi X-RAY | genn Summary

kandi X-RAY | genn Summary

genn is a C++ library typically used in Hardware, GPU, Deep Learning applications. genn has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              genn has a low active ecosystem.
              It has 200 star(s) with 54 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 61 open issues and 199 have been closed. On average issues are closed in 203 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of genn is 4.8.1

            kandi-Quality Quality

              genn has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              genn is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              genn releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of genn
            Get all kandi verified functions for this library.

            genn Key Features

            No Key Features are available at this moment for genn.

            genn Examples and Code Snippets

            No Code Snippets are available at this moment for genn.

            Community Discussions

            QUESTION

            how to take spesific value in list dictionary
            Asked 2019-Dec-11 at 12:12

            here's my whole code

            ...

            ANSWER

            Answered 2019-Dec-11 at 12:12

            The code you've said you want to run, and the code you've actually run are different.

            Source https://stackoverflow.com/questions/59285073

            QUESTION

            Onclick after searchfilter shows first item
            Asked 2018-Mar-21 at 07:38

            I cant find out the error in this activity.I am newbie to android.Please anyone can correct the error in java and xml?I have a spinner, Datepicker and list view.The spinner will show three item.Everything works fine.Te problem is whenever i search on any item and click it,It will open first item of list.Please tell me if you need anything else to resolve this issue.

            My activty

            ...

            ANSWER

            Answered 2018-Mar-21 at 07:38

            The logic you implement not going to work when you using filter. For this you have to use parent.getAdapter().getItem(position); . Make sure the getItem(position) in your custom adapter returns the right data.

            Change

            Source https://stackoverflow.com/questions/49398057

            QUESTION

            How to select input options for a function
            Asked 2017-Dec-13 at 09:47

            I am trying to write a function that acts as an autocorrect. So basically somewhere in the script a user will assign a colour to a variable and then the function checks whether it is part of a list of common spelling errors for that colour and then assign the correct spelling.

            ...

            ANSWER

            Answered 2017-Dec-13 at 09:47

            You need to add a return value to the function, to return either the corrected colour or, if the colour does not match, some other return value. The parameter should also be called something more meaningful than variable, such as str (for string). Here is a revised function:

            Source https://stackoverflow.com/questions/47789707

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

            Vulnerabilities

            No vulnerabilities reported

            Install genn

            Download and unpack GeNN.zip to a convenient location, then download and install the Microsoft Visual C++ compiler and IDE from: http://www.visualstudio.com/en-us/downloads. Be sure to select the 'Desktop development with C++' configuration' and the 'Windows 8.1 SDK' and 'Windows Universal CRT' individual components. If your machine has an NVIDIA GPU, then download and install a compatible version of the Nvidia CUDA toolkit from: https://developer.nvidia.com/cuda-downloads. Note that the latest version of Visual Studio is not necessarily compatible with the latest version of the CUDA toolkit. Ensure that the CUDA_PATH environment variable is defined and points to the location of the Nvidia CUDA toolkit installation; and that the CUDA bin directory is included in the path. These can be checked by using: ECHO %CUDA_PATH% and ECHO %PATH% respectively (although they are usully set automatically by the CUDA installer on Windows systems). If not, correct this using: SETX CUDA_PATH "[drive]\Program Files\NVIDIA GPU Computing Toolkit\CUDA[version]" and SETX PATH "%PATH%;%CUDA_PATH%. Add the bin sub-directory of the directory in which GeNN is located to your PATH variable. For example, if you extracted GeNN to c:\Users\me\GeNN, use: SETX PATH "c:\Users\me\GeNN\bin;%PATH%". To access a developer command prompt, use the shortcut link in: start menu -> all programs -> Microsoft Visual Studio -> Visual Studio Tools -> x64 Native Tools Command Prompt which will launch an instance of cmd.exe with a build environment already set up. Alternatively, from any cmd console window, run the vscvsrsall.bat script under the Visual C++ directory before compiling any projects. This completes the installation. Note that the command window must be restarted to initialise the variables set using the SETX command.
            Download and unpack GeNN.zip to a convenient location, then download and install the Microsoft Visual C++ compiler and IDE from: http://www.visualstudio.com/en-us/downloads. Be sure to select the 'Desktop development with C++' configuration' and the 'Windows 8.1 SDK' and 'Windows Universal CRT' individual components. If your machine has an NVIDIA GPU, then download and install a compatible version of the Nvidia CUDA toolkit from: https://developer.nvidia.com/cuda-downloads. Note that the latest version of Visual Studio is not necessarily compatible with the latest version of the CUDA toolkit.
            Ensure that the CUDA_PATH environment variable is defined and points to the location of the Nvidia CUDA toolkit installation; and that the CUDA bin directory is included in the path. These can be checked by using: ECHO %CUDA_PATH% and ECHO %PATH% respectively (although they are usully set automatically by the CUDA installer on Windows systems). If not, correct this using: SETX CUDA_PATH "[drive]\Program Files\NVIDIA GPU Computing Toolkit\CUDA[version]" and SETX PATH "%PATH%;%CUDA_PATH%.
            Add the bin sub-directory of the directory in which GeNN is located to your PATH variable. For example, if you extracted GeNN to c:\Users\me\GeNN, use: SETX PATH "c:\Users\me\GeNN\bin;%PATH%".
            To access a developer command prompt, use the shortcut link in: start menu -> all programs -> Microsoft Visual Studio -> Visual Studio Tools -> x64 Native Tools Command Prompt which will launch an instance of cmd.exe with a build environment already set up. Alternatively, from any cmd console window, run the vscvsrsall.bat script under the Visual C++ directory before compiling any projects.
            For Arch Linux there are GeNN packages available from the AUR.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/genn-team/genn.git

          • CLI

            gh repo clone genn-team/genn

          • sshUrl

            git@github.com:genn-team/genn.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular GPU Libraries

            taichi

            by taichi-dev

            gpu.js

            by gpujs

            hashcat

            by hashcat

            cupy

            by cupy

            EASTL

            by electronicarts

            Try Top Libraries by genn-team

            ml_genn

            by genn-teamPython

            pynn_genn

            by genn-teamPython

            neuron_visualisation

            by genn-teamPython

            genn-team.github.io

            by genn-teamHTML

            tutorials

            by genn-teamJupyter Notebook