sgas | SGAS : Sequential Greedy Architecture Search | Machine Learning library

 by   lightaime Python Version: Current License: MIT

kandi X-RAY | sgas Summary

kandi X-RAY | sgas Summary

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

Extensive experiments show that SGAS is able to find state-of-the-art architectures for tasks such as image classification, point cloud classification and node classification in protein-protein interaction graphs with minimal computational cost.
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            kandi-support Support

              sgas has a low active ecosystem.
              It has 139 star(s) with 22 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 13 have been closed. On average issues are closed in 34 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of sgas is current.

            kandi-Quality Quality

              sgas has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              sgas 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

              sgas releases are not available. You will need to build from source code and install.
              sgas has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              sgas saves you 2043 person hours of effort in developing the same functionality from scratch.
              It has 4487 lines of code, 276 functions and 43 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed sgas and discovered the below as its top functions. This is intended to give you an instant insight into sgas implemented functionality, and help decide if they suit your requirements.
            • Evaluate the edge function
            • Calculate the average area of history
            • Add a score to an image
            • Train the model
            • Infer the objective function
            • Compute accuracy
            • Plot genotypes
            • Compute the graph
            • Drop path
            • Parse the weight matrix
            • Forward attention function
            • Adds self loops to the edge index
            • Return a genotype object
            • Compute k - nearest neighbors
            • Forward computation
            • Load data for a given partition
            • Synthesize a tensorflow matrix
            • Normalize weights
            • Create the directory for the experiment
            • Adjust the learning rate of the optimizer
            • Random alphas
            • Create a copy of the network
            • Perform the forward propagation
            • Saves checkpoint
            • Forward forward computation
            • Compute the maximum value for the given edge
            Get all kandi verified functions for this library.

            sgas Key Features

            No Key Features are available at this moment for sgas.

            sgas Examples and Code Snippets

            No Code Snippets are available at this moment for sgas.

            Community Discussions

            QUESTION

            Spring boot authorization returns 403 for any authorization request using @RolesAllowed, @Secured or @PreAuthorize
            Asked 2020-Jun-05 at 06:43

            I've been working from this article (and a few other similar ones): https://medium.com/omarelgabrys-blog/microservices-with-spring-boot-authentication-with-jwt-part-3-fafc9d7187e8

            The client is an Angular 8 app which acquires a Jwt from an independent microservice. Trying to add filter(s) to a different microservice to require specific authorization via jwt roles.

            Consistently receiving 403 errors.

            Security Config:

            ...

            ANSWER

            Answered 2020-Jun-05 at 06:43

            @PreAuthorize("hasRole('FOO_Admin')) expects the user has an authority ROLE_FOO_Admin, which will be prefixed by ROLE_. However, the user only has the authority FOO_Admin , hence it fails to access the method.

            You have several options:

            (1) Change the prefix by declaring a GrantedAuthorityDefaults bean:

            Source https://stackoverflow.com/questions/62206611

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

            Vulnerabilities

            No vulnerabilities reported

            Install sgas

            You will find detailed instructions how to use our code for CNN architecture search, in the folder cnn and GCN architecture search, in the folder gcn. Currently, we provide the following:.
            Conda environment
            Search code
            Training code
            Evaluation code
            Several pretrained models
            Visualization code

            Support

            Further information and details please contact Guohao Li and Guocheng Qian.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/lightaime/sgas.git

          • CLI

            gh repo clone lightaime/sgas

          • sshUrl

            git@github.com:lightaime/sgas.git

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