real-nvp | Implementation of Real-NVP in Tensorflow | Machine Learning library

 by   taesungp Python Version: Current License: No License

kandi X-RAY | real-nvp Summary

kandi X-RAY | real-nvp Summary

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

Implementation of Real-NVP in Tensorflow
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            kandi-support Support

              real-nvp has a low active ecosystem.
              It has 96 star(s) with 22 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of real-nvp is current.

            kandi-Quality Quality

              real-nvp has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              real-nvp 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

              real-nvp releases are not available. You will need to build from source code and install.
              real-nvp has no build file. You will be need to create the build yourself to build the component from source.
              real-nvp saves you 274 person hours of effort in developing the same functionality from scratch.
              It has 664 lines of code, 52 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed real-nvp and discovered the below as its top functions. This is intended to give you an instant insight into real-nvp implemented functionality, and help decide if they suit your requirements.
            • Loads the cifar10 dataset
            • Preprocess training images
            • Unpickle data from a file
            • Download a file
            • Download and extract training and validation
            • Tile an image
            • Stretch the image
            • Create an image tile from the given filters
            • Tile images
            • Compute the forward and Jacobian
            • Backward transformation
            • Calculate Adam updates
            • Construct the model spec
            • Backward computation
            • Backward
            • Prints the number of trainable variables
            • Plot an image
            • Sample from the model
            Get all kandi verified functions for this library.

            real-nvp Key Features

            No Key Features are available at this moment for real-nvp.

            real-nvp Examples and Code Snippets

            No Code Snippets are available at this moment for real-nvp.

            Community Discussions

            QUESTION

            How to select R installation when using rpy2 on conda?
            Asked 2021-Sep-19 at 23:49

            tl;dr Can I configure rpy2 so that it loads the conda installation instead of the system one?

            My issue

            When I run rpy2 it uses the system installation of R, but it introspects and loads libraries from my conda installation of R. This has various side effects such as segfaults and so on...

            Reproduction

            I have an installation of R on a Ubuntu 18 server, that my sysadmin has installed. I want to use conda with python and rpy2 to make sure I can select versions somewhat freely.

            Below, you can see I am in a conda environment called (rnvp), that rpy2 identifies the 4.0.5 conda installation of R, but that the rpy2.robjects library loads the system R installation instead, which is 4.0.3.

            When running the situation script, I get the below

            ...

            ANSWER

            Answered 2021-Aug-26 at 12:02

            Recompile rpy2 locally, with a linker flag to explicate which R library to link to.

            Inspired by the blog post https://thomas-cokelaer.info/blog/2012/01/installing-rpy2-with-different-r-version-already-installed/ I decided to recompile rpy2 from source, and supply the R path as an environment variable to the compilation.

            Source https://stackoverflow.com/questions/68936589

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

            Vulnerabilities

            No vulnerabilities reported

            Install real-nvp

            You can download it from GitHub.
            You can use real-nvp 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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          • HTTPS

            https://github.com/taesungp/real-nvp.git

          • CLI

            gh repo clone taesungp/real-nvp

          • sshUrl

            git@github.com:taesungp/real-nvp.git

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