sefa | CVPR 2021 ] Closed-Form Factorization | Machine Learning library

 by   genforce Python Version: Current License: MIT

kandi X-RAY | sefa Summary

kandi X-RAY | sefa Summary

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

Closed-Form Factorization of Latent Semantics in GANs Yujun Shen, Bolei Zhou Computer Vision and Pattern Recognition (CVPR), 2021 (Oral). [Paper] [Project Page] [Demo] [Colab]. In this repository, we propose a closed-form approach, termed as SeFa, for unsupervised latent semantic factorization in GANs. With this algorithm, we are able to discover versatile semantics from different GAN models trained on various datasets. Most importantly, the proposed method does not rely on pre-trained semantic predictors and has an extremely fast implementation (i.e., less than 1 second to interpret a model). Below show some interesting results on anime faces, cats, and cars. NOTE: The following semantics are identified in a completely unsupervised manner, and post-annotated for reference.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              sefa has a medium active ecosystem.
              It has 946 star(s) with 110 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 11 have been closed. On average issues are closed in 67 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of sefa is current.

            kandi-Quality Quality

              sefa has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              sefa 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

              sefa releases are not available. You will need to build from source code and install.
              sefa has no build file. You will be need to create the build yourself to 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 sefa and discovered the below as its top functions. This is intended to give you an instant insight into sefa implemented functionality, and help decide if they suit your requirements.
            • Get current session
            • Factorize a weight layer
            • Parse a string into a list of integers
            • Return the GAN type of the given module
            • Parse command line arguments
            • Load model generator
            • Return a GANGenerator instance
            • Perform the forward computation
            • Gather all tensors from a tensor
            • Save the table
            • Generate the sorting table header
            • Get the footer footer
            • Build a GAN model
            • Build a GAN discriminator
            • Set a cell s text
            • Parse image size
            • Return an HTML representation of an image
            • Sample from the given model
            • Postprocessing post - processing
            • Convert numpy array to torch tensors
            • Set column headers
            • Synthesize the given code
            • Post - process images
            • Convert numpy array into torch tensor
            Get all kandi verified functions for this library.

            sefa Key Features

            No Key Features are available at this moment for sefa.

            sefa Examples and Code Snippets

            No Code Snippets are available at this moment for sefa.

            Community Discussions

            QUESTION

            using a function to print basic student information in c++
            Asked 2022-Jan-21 at 09:57

            I want to print in c++ some general information about students by using a function with parameters

            ...

            ANSWER

            Answered 2022-Jan-21 at 09:57

            Because 0 at the beginning of an integer literal means that it should be interpreted as an octal value. Now you don't want that. So convert phone and age to std::string.

            Also, Use a struct to make the work easier (instead of many many parameters):

            Source https://stackoverflow.com/questions/70798928

            QUESTION

            Flutter: run multiple methods
            Asked 2020-Oct-20 at 02:22

            I have a big problem. If I want to encrypt my video file, my application is freezing until that method finishing. But there is no error. How can I code my application does not freeze. thanks.

            ...

            ANSWER

            Answered 2020-Oct-19 at 13:07

            Try this. Maybe will work if you put code for encryption in isolate. For that use method compute.

            Source https://stackoverflow.com/questions/64427551

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

            Vulnerabilities

            No vulnerabilities reported

            Install sefa

            You can download it from GitHub.
            You can use sefa 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/genforce/sefa.git

          • CLI

            gh repo clone genforce/sefa

          • sshUrl

            git@github.com:genforce/sefa.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