mmvae | Multimodal Mixture-of-Experts VAE

by iffsid Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | mmvae Summary

mmvae is a Python library. mmvae has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Multimodal Mixture-of-Experts VAE

Support

Quality

Security

License

Reuse

Support

mmvae has a low active ecosystem.

It has 80 star(s) with 15 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 9 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mmvae is current.

Quality

mmvae has no bugs reported.

Security

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

License

mmvae is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

mmvae 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 mmvae and discovered the below as its top functions. This is intended to give you an instant insight into mmvae implemented functionality, and help decide if they suit your requirements.

Create the vocab
Load the vocab
Loads data from file
Create vocabulary
Classify latent data
Unpack multiple data structure
Unpack the model
Fetch an embedding model
Train the model
Generate examples
Create the ft matrix
Generate a sparse matrix
Get data loaders
Calculate the loss coefficient for a given model
Reconstruct a re - trained sentence
Reconstruct a reST sentence
Fetch a pre - trained PCA model
Random match between two indices
Evaluate a model on a given model
Calculate KL divergence
Fetch weights from a text file
Reconstruct training images
Calculate marginal log likelihood
Compute joint coherence
Reconstruct cub_image
Calculate cross - coherence

Get all kandi verified functions for this library.

mmvae Key Features

No Key Features are available at this moment for mmvae.

mmvae Examples and Code Snippets

No Code Snippets are available at this moment for mmvae.

Community Discussions

No Community Discussions are available at this moment for mmvae.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install mmvae

You can download it from GitHub.
You can use mmvae 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.