ALAE | Adversarial Latent Autoencoders | Machine Learning library

 by   podgorskiy Python Version: Current License: No License

kandi X-RAY | ALAE Summary

kandi X-RAY | ALAE Summary

ALAE is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. ALAE has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.

Adversarial Latent Autoencoders Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto Abstract: Autoencoder networks are unsupervised approaches aiming at combining generative and representational properties by learning simultaneously an encoder-generator map. Although studied extensively, the issues of whether they have the same generative power of GANs, or learn disentangled representations, have not been fully addressed. We introduce an autoencoder that tackles these issues jointly, which we call Adversarial Latent Autoencoder (ALAE). It is a general architecture that can leverage recent improvements on GAN training procedures. We designed two autoencoders: one based on a MLP encoder, and another based on a StyleGAN generator, which we call StyleALAE. We verify the disentanglement properties of both architectures. We show that StyleALAE can not only generate 1024x1024 face images with comparable quality of StyleGAN, but at the same resolution can also produce face reconstructions and manipulations based on real images. This makes ALAE the first autoencoder able to compare with, and go beyond the capabilities of a generator-only type of architecture.
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              ALAE has a medium active ecosystem.
              It has 3418 star(s) with 558 fork(s). There are 88 watchers for this library.
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              It had no major release in the last 6 months.
              There are 32 open issues and 36 have been closed. On average issues are closed in 96 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ALAE is current.

            kandi-Quality Quality

              ALAE has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ALAE does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              ALAE 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 are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ALAE and discovered the below as its top functions. This is intended to give you an instant insight into ALAE implemented functionality, and help decide if they suit your requirements.
            • Parse command line arguments
            • Setup nccl
            • Center crop of images
            • Run torch
            • Prepare the dataset to be used in the ensemble
            • Train the model
            • Tag the last checkpoint
            • Loads the model from scratch
            • Save a checkpoint to disk
            • Sample from the model
            • Downscale image
            • Evaluate the model
            • Encodes a tensor
            • Evaluate principal directions
            • Load a pickled file
            • Parse a tf record
            • Forward the convolution layer
            • Scale a 2D tensor
            • Forward convolutional layer
            • Minibatch standard deviation layer
            • Make a sequence
            • Return True if arg is a sequence
            • Align landmarks
            • Perform the forward transformation
            • Crop the image to center
            • Increment the next iteration
            • Encodes the given tensor
            Get all kandi verified functions for this library.

            ALAE Key Features

            No Key Features are available at this moment for ALAE.

            ALAE Examples and Code Snippets

            Pytorch ALAE,Experiments
            Pythondot img1Lines of Code : 3dot img1no licencesLicense : No License
            copy iconCopy
            python3 train_MlpALAE.py
            
            python3 train_StyleGan.py --dataset_name LFW
            
            python3 train_StyleALAE.py --dataset_name FFHQ
              

            Community Discussions

            Trending Discussions on ALAE

            QUESTION

            How to get Pull Request Message Body
            Asked 2020-May-04 at 06:01

            With git log command I can successfully get a Github Pull Request number. Now, with the Pull Request number known, I would like to go ahead and query the message (a comment) posted with the PR (the PR message is displayed under the Conversation tab). Here is an example of PR with a message posted:

            https://github.com/podgorskiy/ALAE/pull/11

            How to query the PR message (aka PR comment) from a command line (with curl or git or something else)?

            ...

            ANSWER

            Answered 2020-May-04 at 06:01

            To get the PR message using curl

            Source https://stackoverflow.com/questions/61584664

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

            Vulnerabilities

            No vulnerabilities reported

            Install ALAE

            You can download it from GitHub.
            You can use ALAE 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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            CLONE
          • HTTPS

            https://github.com/podgorskiy/ALAE.git

          • CLI

            gh repo clone podgorskiy/ALAE

          • sshUrl

            git@github.com:podgorskiy/ALAE.git

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