modelhub | A collection of deep learning models with a unified API | Machine Learning library

 by   modelhub-ai Python Version: Current License: MIT

kandi X-RAY | modelhub Summary

kandi X-RAY | modelhub Summary

modelhub is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. modelhub has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However modelhub has 1 bugs. You can install using 'pip install modelhub' or download it from GitHub, PyPI.

We are the Computational Imaging and Bioinformatics Laboratory at the Harvard Medical School, Brigham and Women’s Hospital and Dana-Farber Cancer Institute. We are a data science lab focused on the development and application of novel Artificial Intelligence (AI) approaches to various types of medical data.
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              modelhub has a low active ecosystem.
              It has 50 star(s) with 8 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 10 open issues and 20 have been closed. On average issues are closed in 73 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of modelhub is current.

            kandi-Quality Quality

              modelhub has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 10 code smells.

            kandi-Security Security

              modelhub has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              modelhub code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              modelhub is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              modelhub 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.
              modelhub saves you 257 person hours of effort in developing the same functionality from scratch.
              It has 623 lines of code, 49 functions and 5 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed modelhub and discovered the below as its top functions. This is intended to give you an instant insight into modelhub implemented functionality, and help decide if they suit your requirements.
            • Generate a README file
            • Write a table row
            • Write start table
            • Start a docker container
            • Start an expert mode
            • Check if the model is in CPU mode
            • Start the model in bash mode
            • Start the model
            • Get model info from online model index
            • Return the mount command
            • Return the mount command to use
            • List all online models
            • Check python version
            Get all kandi verified functions for this library.

            modelhub Key Features

            No Key Features are available at this moment for modelhub.

            modelhub Examples and Code Snippets

            No Code Snippets are available at this moment for modelhub.

            Community Discussions

            QUESTION

            How to debug SignalR server event that fails to fire from client?
            Asked 2018-Jan-24 at 19:36

            When I copy the code from this tutorial into my current project, I have no problems using their Send method.

            However, in my own code, my server Send method never fires.

            Server code:

            ...

            ANSWER

            Answered 2018-Jan-24 at 19:16

            Your issue stems from your class, you do the following:

            Source https://stackoverflow.com/questions/48429887

            QUESTION

            SignalR Send method not firing while trying to poll for existing connections
            Asked 2018-Jan-24 at 15:09

            I'm using the latest version of SignalR with jQuery and getting some odd behavior where a user disconnects, but still hangs around in my "UserQueue" despite having disconnected.

            I think this may be related to the fact that a page refresh appears to trigger the OnDisconnected and OnConnected events almost simultaneously. When I set a break point in one of these methods and step through, my pointer bounces back and forth between the two methods with each step (F10).

            I'd like to run a check with each OnConnected event to find out who is actually connected to my app. I want to fire a JS event from my C# code in the OnConnected event, and then allow the client/front end to fire back a confirmation of the user being present:

            ...

            ANSWER

            Answered 2018-Jan-24 at 15:09

            Seems to be two causes below.

            Server-side
            Not good to call Clients.All.checkForOtherUsers(); within OnConnected().
            I would recommend calling it after connected.

            Please refer to SignalR - Send message OnConnected

            Client-side
            Might need to regist modelHub.client.checkForOtherUsers = function () { before calling start method.

            Normally you register event handlers before calling the start method to establish the connection. If you want to register some event handlers after establishing the connection, you can do that, but you must register at least one of your event handler(s) before calling the start method.
            - How to establish a connection

            Source https://stackoverflow.com/questions/48410850

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

            Vulnerabilities

            No vulnerabilities reported

            Install modelhub

            You can install using 'pip install modelhub' or download it from GitHub, PyPI.
            You can use modelhub 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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            CLONE
          • HTTPS

            https://github.com/modelhub-ai/modelhub.git

          • CLI

            gh repo clone modelhub-ai/modelhub

          • sshUrl

            git@github.com:modelhub-ai/modelhub.git

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