SAVI2I | Diverse Image-to-Image Translation via Signed Attribute
kandi X-RAY | SAVI2I Summary
kandi X-RAY | SAVI2I Summary
SAVI2I is a Python library. SAVI2I has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
Support
Quality
Security
License
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Support
SAVI2I has a low active ecosystem.
It has 28 star(s) with 6 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 2 have been closed. On average issues are closed in 3 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SAVI2I is current.
Quality
SAVI2I has no bugs reported.
Security
SAVI2I has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SAVI2I does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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SAVI2I releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed SAVI2I and discovered the below as its top functions. This is intended to give you an instant insight into SAVI2I implemented functionality, and help decide if they suit your requirements.
- Update the DAG
- Calculate the gradient of the gradients
- Calculate the gradient of the loss function
- Compute the gradient of the loss function
- Updates E g
- Calculate G_GAN_G_G_GAN
- Calculate the style loss between two sources
- Backward objective function
- Concatenate multiple Tensors together
- Convert a tensor
- Save state to file
- Set the scheduler
- Residual interpolation
- Forward the model to the given domain
- Write the model to disk
- Parse command line options
- Update the learning rate
- Save Tensors to images
- Set the GPU
- Returns a function that calculates the mmd loss
- Compute the interpolation between two images
- Write model to image directory
- Calculate the D_content for the input image
- Interpolate latent code
- Resume a checkpoint
- Parse command line options
Get all kandi verified functions for this library.
SAVI2I Key Features
No Key Features are available at this moment for SAVI2I.
SAVI2I Examples and Code Snippets
No Code Snippets are available at this moment for SAVI2I.
Community Discussions
No Community Discussions are available at this moment for SAVI2I.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SAVI2I
Clone this repo:
This code requires Pytorch 0.4.0+ and Python 3+. Please install dependencies by
This code requires Pytorch 0.4.0+ and Python 3+. Please install dependencies by
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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