addons | Useful extra functionality for TensorFlow 2x maintained by SIG-addons | Machine Learning library

 by   tensorflow Python Version: v0.20.0 License: Apache-2.0

kandi X-RAY | addons Summary

kandi X-RAY | addons Summary

addons is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. addons has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              addons has a medium active ecosystem.
              It has 1644 star(s) with 609 fork(s). There are 60 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 75 open issues and 888 have been closed. On average issues are closed in 622 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of addons is v0.20.0

            kandi-Quality Quality

              addons has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              addons is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              addons releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              addons saves you 12798 person hours of effort in developing the same functionality from scratch.
              It has 27315 lines of code, 1827 functions and 259 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed addons and discovered the below as its top functions. This is intended to give you an instant insight into addons implemented functionality, and help decide if they suit your requirements.
            • Uses sklearn to skip a gram sample of text
            • Filter input tensor
            • Skip the input_tensor
            • Call the AttentionWrapper
            • Check that the AttentionMechanism is initialized
            • Check for batch size
            • Compute the Triplet Semihard Loss
            • Compute the minimum of a masked array
            • Calculate the maximum value of a masked array
            • Computes the probability function for the given score
            • Compute the score for each sequence of sequences
            • Create TensorFlow build configuration
            • Call the attention layer
            • Finalize beam search decoder
            • If t is a tf TensorArray return it
            • Takes a tensor t
            • Apply gradients
            • Calculate attention
            • Performs a CRF - decoder
            • Raises a TypeError if the cell is not a RNNCell
            • Check TensorFlow version
            • Calculate the attention
            • Find CUDA configuration
            • Generate random HSV in yiq
            • Calculate the hard loss
            • Perform a single step
            Get all kandi verified functions for this library.

            addons Key Features

            No Key Features are available at this moment for addons.

            addons Examples and Code Snippets

            Addons,Addon development,Implement the Addon
            Javadot img1Lines of Code : 76dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            package io.testproject.sdk.tests.examples.addons.actions;
            
            import io.testproject.sdk.internal.addons.annotations.AddonAction;
            import io.testproject.sdk.internal.addons.interfaces.Action;
            import io.testproject.sdk.internal.addons.Platform;
            import org.  
            TensorFlow Recommenders Addons,Installation,Compatility with Tensorflow Serving
            Pythondot img2Lines of Code : 24dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            deps = deps + [
                    # "@local_config_tf//:libtensorflow_framework",
                    "@local_config_tf//:tf_header_lib",
                ]
            
            native.cc_library(
                    name = name,
                    srcs = srcs,
                    copts = copts,
                    alwayslink = 1,
                    features =   
            TensorFlow Recommenders Addons,Installation,Compatility with Tensorflow
            Pythondot img3Lines of Code : 10dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            git clone https://github.com/tensorflow/recommenders-addons.git
            cd recommenders-addons
            
            # This script links project with TensorFlow dependency
            python3 ./configure.py
            
            bazel build --enable_runfiles build_pip_pkg
            bazel-bin/build_pip_pkg artifacts
            
            pip   

            Community Discussions

            QUESTION

            Heroku Shopify Application Error 'npm ERR! ERESOLVE unable to resolve dependency tree'
            Asked 2022-Apr-03 at 07:31

            Greetings I have a problem with Heroku because it's don't want to install legacy packages for my Shopify app, my Shopify app is on Github and I just set up everything that my application needs, but when I deploy the main branch on Heroku I get this error in Heroku console below, can someone help me fix this?

            ...

            ANSWER

            Answered 2022-Feb-10 at 13:23

            Your lock file contains conflicting dependencies. Since you were able to reproduce the error locally using npm ci we have a good way to test a fix locally.

            It looks like you are depending directly on React 16. Is that something that you need directly, or is it just a dependency for Next.js?

            If it's not something you need directly, upgrade it per the Next.js docs:

            Source https://stackoverflow.com/questions/71065040

            QUESTION

            Microk8s dashboard using nginx-ingress via http not working (Error: `no matches for kind "Ingress" in version "extensions/v1beta1"`)
            Asked 2022-Apr-01 at 07:26

            I have microk8s v1.22.2 running on Ubuntu 20.04.3 LTS.

            Output from /etc/hosts:

            ...

            ANSWER

            Answered 2021-Oct-10 at 18:29
            error: unable to recognize "ingress.yaml": no matches for kind "Ingress" in version "extensions/v1beta1"
            

            Source https://stackoverflow.com/questions/69517855

            QUESTION

            how to use @job in odoo v15 queue_job?
            Asked 2022-Mar-22 at 08:43

            In odoo v13 i use @job with 'from addons.queue_job.job import job, related_action' but now in odoo 15 I do not know how so how to use @job in odoo v15 queue_job ?

            ...

            ANSWER

            Answered 2022-Mar-22 at 08:43

            The decorator was removed, the PR with some more information is found here.

            So you need to write XML records for model queue.job.function like

            Source https://stackoverflow.com/questions/71568709

            QUESTION

            Ingress not working from official kubernetes tutorial
            Asked 2022-Mar-11 at 08:43

            I am following this official k8 ingress tutorial. However I am not able to curl the minikube IP address and access the "web" application.

            ...

            ANSWER

            Answered 2021-Dec-15 at 15:57

            You need to setup your /etc/hosts, I guess the ingress controller wait for requests with an host defined to redirect them, but it's pretty strange that it didn't even respond to the http request with an error.

            Could you show what these commands returns ?

            Source https://stackoverflow.com/questions/70366074

            QUESTION

            Storybook error when using Webpack5 with Next.JS app + Typescript
            Asked 2022-Feb-08 at 19:42

            I am trying to set up a fresh next.js app using Typescript and Storybook.

            Following some guides online gets me fairly close but I note that the rendered 'HomePage' story is missing styling

            compared with what I get when I simply run

            ...

            ANSWER

            Answered 2022-Feb-08 at 19:42

            Found the answer here -> https://github.com/storybookjs/storybook/issues/15336

            The solution is simply to add the following to .storybook\main.js

            Source https://stackoverflow.com/questions/70637257

            QUESTION

            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

            ...

            ANSWER

            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

            Source https://stackoverflow.com/questions/71000120

            QUESTION

            Minikube dashboard ingress
            Asked 2022-Feb-05 at 21:52

            Im trying to make an ingress for the minikube dashboard using the embedded dashboard internal service.

            I enabled both ingress and dashboard minikube addons.

            I also wrote this ingress YAML file :

            ...

            ANSWER

            Answered 2021-Dec-13 at 11:10

            I had similar issues with Minikube's Ingress, but I was using Windows.

            After indepth search, I discovered that the problem came from Docker's driver.

            I changed the driver to VirtualBox and Ingress started behaving as expected.

            This entry provides further details.

            Source https://stackoverflow.com/questions/70237546

            QUESTION

            How to penetrate or cut holes through a 2D foreground
            Asked 2022-Jan-22 at 03:11

            I'm currently making a 2D game in Javascript, but I want to the game to have different lighting levels, for example, if I were to create a day and night cycle. However, I want to be able to cut holes in the lighting/foreground, or do something so that I can make certain parts of the screen lit up, for example like a flashlight or candle. Note: I'm also using the P5.js library.

            The most obvious idea that came to mind for going about in creating a foreground is just creating a rectangle with some opacity that covers the entire screen. This is good, but how am I supposed cut through this? Obviously, the code below won't work because I'm just layering on another element, and the rectangle is still obstructed and not perfectly clear.

            ...

            ANSWER

            Answered 2022-Jan-22 at 03:11

            The erase() function may be what you are looking for. It is more flexible than trying to explicitly paint over the areas you want to cover (such as in the approach of using the stroke of a circle and rectangle to cover everything except a circle). And it is easier to use than beginContour() since you can use it with any of the built in drawing primitives (rect, ellipse, triangle, etc).

            Source https://stackoverflow.com/questions/70807530

            QUESTION

            Invalid value for prop `css` when using @emotion/react with Vite
            Asked 2022-Jan-21 at 08:49

            I couldn't find any information on how to make @emotion/react work in Storybook when using Vite as a bundler in a React application.

            I'm getting errors like Invalid value for prop 'css' in

            tag in almost every story. Even though, @emotion/react is working fine for the webapp itself.

            Here's my vite.config.js configuration:

            ...

            ANSWER

            Answered 2022-Jan-21 at 08:49

            The solution was found in storybook-builder-vite's github page here.

            Source https://stackoverflow.com/questions/70530986

            QUESTION

            odoo.tools.convert.ParseError when restarting odoo-bin
            Asked 2022-Jan-10 at 15:29

            I am working through the developer tutorial here.

            I have added two action buttons to a tree view.

            Everything worked fine until I restarted the server after adding the button tags to the XML view. I then received the following error:

            ...

            ANSWER

            Answered 2022-Jan-10 at 14:13

            Remove the style from the button on tree view

            Source https://stackoverflow.com/questions/70652196

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

            Vulnerabilities

            No vulnerabilities reported

            Install addons

            TensorFlow Addons is a repository of contributions that conform to well-established API patterns, but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).
            TensorFlow Addons is available on PyPI for Linux, macOS, and Windows. To install the latest version, run the following:.

            Support

            TensorFlow Addons is a community-led open source project (only a few maintainers work for Google!). As such, the project depends on public contributions, bug fixes, and documentation. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link