swish | Easy SFTP for Windows Explorer | FTP library

 by   alamaison C++ Version: Current License: Non-SPDX

kandi X-RAY | swish Summary

kandi X-RAY | swish Summary

swish is a C++ library typically used in Networking, FTP, Electron applications. swish has no bugs, it has no vulnerabilities and it has low support. However swish has a Non-SPDX License. You can download it from GitHub.

Swish is a plugin for Microsoft Windows Explorer that adds support for SFTP. If you’ve used Explorer’s built-in FTP support, Swish is that but for SFTP over SSH.

            kandi-support Support

              swish has a low active ecosystem.
              It has 217 star(s) with 29 fork(s). There are 25 watchers for this library.
              It had no major release in the last 6 months.
              swish has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of swish is current.

            kandi-Quality Quality

              swish has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              swish has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              swish releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            swish Key Features

            No Key Features are available at this moment for swish.

            swish Examples and Code Snippets

            pypidot img1Lines of Code : 11dot img1no licencesLicense : No License
            copy iconCopy
            model = EfficientNet.from_pretrained("efficientnet-b0", advprop=True)
            if advprop:  # for models using advprop pretrained weights
                normalize = transforms.Lambda(lambda img: img * 2.0 - 1.0)
                normalize = transforms.Normalize(mean=[0.485,   
            Sigmoid activation function .
            pythondot img2Lines of Code : 47dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def swish(features, beta=1.0):
              # pylint: disable=g-doc-args
              """Computes the SiLU or Swish activation function: `x * sigmoid(beta * x)`.
              beta : Hyperparameter for Swish activation function. Default value 1.0.
              The SiLU activation function was  
            Swish an object .
            pythondot img3Lines of Code : 27dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def swish(x):
              """Swish activation function, `swish(x) = x * sigmoid(x)`.
              Swish activation function which returns `x*sigmoid(x)`.
              It is a smooth, non-monotonic function that consistently matches
              or outperforms ReLU on deep networks, it is unb  

            Community Discussions


            Unknown activation: swish
            Asked 2021-May-25 at 15:19

            I like to load a ML Model in a React-Native App.
            I converted Keras model model.h5 to model.json and binary weight files using this command.



            Answered 2021-May-25 at 15:19

            The error is straightforward, you are using an activation swish that is not defined. You can have a look at these answers here and there

            Source https://stackoverflow.com/questions/67684738


            Prolog procedure does not exist (cant run rules in prolog)
            Asked 2021-May-21 at 18:15

            I am new to Prolog and using the SWISH SWI online PROLOG website. https://swish.swi-prolog.org/ I am trying a really basic program:



            Answered 2021-May-21 at 17:27


            Tensorflow Autograph issue with for loop
            Asked 2021-May-10 at 13:06

            I would like to extract the derivatives of a Tensorflow model with respect to its input using autograph for speed, but for some reason autograph gives an error. Here is the function that I am using:



            Answered 2021-May-10 at 13:06

            The error comes from the fact that you are trying to write a value of None in a tf.TensorArray. You get this error because your gradient calculation outputs None because some operations that you are doing are not done inside the scope of the tf.GradientTape. You can read that answer for more details: Answer to: "tensorflow differentiate only element of vector".

            You need to slice your tensor in the scope of the GradientTape to get the actual gradient. One way to achieve this is the following:

            Source https://stackoverflow.com/questions/67394307


            showResult function in blackjack not working
            Asked 2021-May-08 at 03:04

            My show result function for blackjack isn't working properly despite passing the correct argument in it which computes the winner of the game. I nested the function in the function for the deal button to test if it was working.

            As you can see in this screenshot, when I console log the computeWinner function it works perfectly but it won't show up on the screen.

            The specific computeWinner function:



            Answered 2021-May-08 at 03:04

            Just eyeballing the code here but you seem to be not returning anything from your computeWinner(). I added a return like so: return winner;. See if this is your expected output.

            Source https://stackoverflow.com/questions/67443602


            How to limit depths structures in prolog
            Asked 2021-Apr-24 at 17:14

            I trying to write a grammar that generates expresions. If I do not set a depth limit the recursion goes throw the last variable and be infinity. I do not know how to limit depth branching the tree recursion.

            I try this:



            Answered 2021-Apr-24 at 17:14

            The problem is that you allow the expression to be evaluated recursively even if N <= 0, because while backtracking, the last rule is a viable option even if N becomes zero or even less. You need to rule that out in the last rule using N > 0.

            Adding that to the code:

            Source https://stackoverflow.com/questions/67244532


            Prolog argument mode indicator causes output false
            Asked 2021-Apr-20 at 13:21

            I am trying to use Prolog's argument mode indicators in the signature of my method (https://www.swi-prolog.org/pldoc/man?section=argmode).

            Without the indicators, my function works as expected (eg. palindrome([1,2,1]) gives true):



            Answered 2021-Apr-19 at 08:18

            Yes, wrong. You shouldn't be using them at all, in the code. Only in the comments.

            + is interpreted as a separate token:

            Source https://stackoverflow.com/questions/67157575


            How to create an autoencoder from two sequential networks?
            Asked 2021-Mar-08 at 23:55

            I have two sequential networks (encoder network and decoder network). How can I use the sequential API to create the autoencoder model?

            Please don't recommend using the functional API or explain the benefits of functional over sequential, because this is not the question here.



            Answered 2021-Mar-08 at 23:55

            You can use your models like they were layers:

            Source https://stackoverflow.com/questions/66538338


            How to replace Activation layer of existing model in Keras/Tensorflow?
            Asked 2021-Feb-26 at 11:29

            I have a pretrained model which uses Swish (SiLU) activation:



            Answered 2021-Feb-26 at 11:29

            If you have to replace all the activations you are on the right path from the code snippet. There is an issue with your code model.layers[i] = LeakyReLU(name=name). Using the name as a parameter will not work. You can try the below code:

            Source https://stackoverflow.com/questions/66384428


            TensorFlow, Keras: Replace Activation layer in pretrained model
            Asked 2021-Feb-22 at 07:29

            I'm trying to replace swish activation with relu activation in pretrained TF model EfficientNetB0. EfficientNetB0 uses swish activation in Conv2D and Activation layers. This SO post is very similar to what I'm looking for. I also found an answer which works for models without skip connection. Below is the code:



            Answered 2021-Feb-18 at 06:19


            How do I change variables in this program for certain user choices/locations?
            Asked 2021-Feb-18 at 19:57

            Recently I simplified a text-only game I was making:

            Here is the code: ...


            Answered 2021-Feb-18 at 19:57

            You should define a class for your character, where you would store their current location and you can present choices based on the current location or history of actions that the character has taken. The Location class should contain the available actions you can make from that location and a function to present them when needed. This way, you will only need to define each room once.

            Source https://stackoverflow.com/questions/66266636

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


            No vulnerabilities reported

            Install swish

            Binary installers are [on our website](http://www.swish-sftp.org).


            Windows 8 (most tested). Windows 7 (occasionally tested). Windows Vista (rarely tested). Swish may also work on Windows XP, but we haven’t tested that in a while.
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          • CLI

            gh repo clone alamaison/swish

          • sshUrl


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