fromp | Contains code for the NeurIPS 2020 paper | Machine Learning library

 by   team-approx-bayes Python Version: Current License: No License

kandi X-RAY | fromp Summary

kandi X-RAY | fromp Summary

fromp is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. fromp has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by Functional Regularisation of Memorable Past".
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              fromp has a low active ecosystem.
              It has 21 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fromp is current.

            kandi-Quality Quality

              fromp has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              fromp does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              fromp releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fromp and discovered the below as its top functions. This is intended to give you an instant insight into fromp implemented functionality, and help decide if they suit your requirements.
            • Train a trained model
            • Compute the layer
            • Generate the next task from the current iteration
            • Train model
            • Train the CIFAR dataset
            • Returns the next training task
            • Forward forward computation
            • Train SplitMnist model
            • Compute the next task in the current iteration
            • Forward the layer
            • Train PermutedMnist model
            • Generate next task
            Get all kandi verified functions for this library.

            fromp Key Features

            No Key Features are available at this moment for fromp.

            fromp Examples and Code Snippets

            No Code Snippets are available at this moment for fromp.

            Community Discussions

            QUESTION

            How to authorize scope for GAS to edit Google Spreadsheets
            Asked 2020-Apr-06 at 22:20

            I have a Powershell script that calls a Google App Script function.

            When I run the Powershell script I can see the following error on the Error Reporting on my GCP project:

            ...

            ANSWER

            Answered 2020-Apr-06 at 22:20

            In order to run the function of Google Apps Script (GAS) using Apps Script API, it is required to do a bit complicated settings. In this case, I would like to propose for testing to run the GAS function as follows. This flow might be too careful.

            Flow:
            1. Link the Cloud Platform Project to Google Apps Script Project. Ref
            2. Install for running the GAS function with the scripts.run method in Apps Script API. Ref
            3. Put the script you want to run to the script editor of Google Apps Script.
              • Here, please run the function by the script editor and confirm whether the script works. By this, the issue of the script can be avoided.
            4. Put the following script for testing to run. This is used for 1st test of Apps Script API.

            Source https://stackoverflow.com/questions/61049670

            QUESTION

            Parameter file for bteq
            Asked 2017-May-24 at 22:17

            I have a bteq file that delete a table.

            ...

            ANSWER

            Answered 2017-May-24 at 22:17

            You can use the .RUN command to call an external file containing valid BTEQ commands. In this instance, you would take the .LOGON command along with the credentials and place it in another file. Your BTEQ script above would look like this afterwards:

            Source https://stackoverflow.com/questions/44152076

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

            Vulnerabilities

            No vulnerabilities reported

            Install fromp

            You can download it from GitHub.
            You can use fromp 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 .
            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/team-approx-bayes/fromp.git

          • CLI

            gh repo clone team-approx-bayes/fromp

          • sshUrl

            git@github.com:team-approx-bayes/fromp.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

            Consider Popular Machine Learning Libraries

            tensorflow

            by tensorflow

            youtube-dl

            by ytdl-org

            models

            by tensorflow

            pytorch

            by pytorch

            keras

            by keras-team

            Try Top Libraries by team-approx-bayes

            dl-with-bayes

            by team-approx-bayesPython

            dnn2gp

            by team-approx-bayesPython

            BayesBiNN

            by team-approx-bayesJupyter Notebook

            liegroups

            by team-approx-bayesPython

            team-approx-bayes.github.io

            by team-approx-bayesJavaScript