PyVB | Python implementation for Variational Bayesian Learning | Machine Learning library
kandi X-RAY | PyVB Summary
kandi X-RAY | PyVB Summary
PyVB is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy applications. PyVB has no bugs, it has no vulnerabilities and it has low support. However PyVB has a Non-SPDX License. You can download it from GitHub.
This is a python implementation for Variational Bayesian Learning. Currently Gaussian Mixture Model (VBGMM) and Hidden Markov Model (VBHMM) are supported. Conventional Expectation Maximization learning is also implemented for both GMM and HMM. Non-parametric approach based on Stick Braking Process was included for alternative GMM. Forward-Backward routines in HMM are accelerated by Fortran 90 with f2py. Numpy and Scipy is needed. C or Fortran compiler is also needed to use extension module of Forward-Backward.
This is a python implementation for Variational Bayesian Learning. Currently Gaussian Mixture Model (VBGMM) and Hidden Markov Model (VBHMM) are supported. Conventional Expectation Maximization learning is also implemented for both GMM and HMM. Non-parametric approach based on Stick Braking Process was included for alternative GMM. Forward-Backward routines in HMM are accelerated by Fortran 90 with f2py. Numpy and Scipy is needed. C or Fortran compiler is also needed to use extension module of Forward-Backward.
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Support
PyVB has a low active ecosystem.
It has 13 star(s) with 6 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
PyVB has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PyVB is current.
Quality
PyVB has 0 bugs and 0 code smells.
Security
PyVB has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
PyVB code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
PyVB 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.
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PyVB releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PyVB
PyVB Key Features
No Key Features are available at this moment for PyVB.
PyVB Examples and Code Snippets
No Code Snippets are available at this moment for PyVB.
Community Discussions
Trending Discussions on PyVB
QUESTION
React theme not applied to children components
Asked 2017-May-27 at 13:10
This is my first interaction with React, the code is below:
...ANSWER
Answered 2017-May-27 at 13:10AppBar internal implementation checking type of the element provided to iconElementRight
property. Theme will be provided 'automatically' just of case of explicit match type to some predefined values, like FlatButton for your example.
Here is how this works internally (taken from material-ui/AppBar source code):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyVB
You can download it from GitHub.
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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