kandi X-RAY | Keras-MetaLearning Summary
kandi X-RAY | Keras-MetaLearning Summary
Keras-MetaLearning is a Python library typically used in Institutions, Learning, Education applications. Keras-MetaLearning has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Keras-MetaLearning build file is not available. You can download it from GitHub.
Keras-MetaLearning
Keras-MetaLearning
Support
Quality
Security
License
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Support
Keras-MetaLearning has a low active ecosystem.
It has 5 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
Keras-MetaLearning has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Keras-MetaLearning is current.
Quality
Keras-MetaLearning has no bugs reported.
Security
Keras-MetaLearning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Keras-MetaLearning is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Keras-MetaLearning releases are not available. You will need to build from source code and install.
Keras-MetaLearning has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Keras-MetaLearning and discovered the below as its top functions. This is intended to give you an instant insight into Keras-MetaLearning implemented functionality, and help decide if they suit your requirements.
- Calculate the hard weight loss for a batch of embeddings
- Compute the pairwise distances between embeddings
- Gets the boolean mask for the given labels
- Gets a boolean mask for negative triplets
- Compute the triplet loss for each triplet
- Gets a boolean mask for triples
- Calculate the accuracy of triplet triplets
- Computes the fraction of the positive triplets
- Build a MNIST model
- Load MNIST dataset
Get all kandi verified functions for this library.
Keras-MetaLearning Key Features
No Key Features are available at this moment for Keras-MetaLearning.
Keras-MetaLearning Examples and Code Snippets
No Code Snippets are available at this moment for Keras-MetaLearning.
Community Discussions
No Community Discussions are available at this moment for Keras-MetaLearning.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Keras-MetaLearning
You can download it from GitHub.
You can use Keras-MetaLearning 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.
You can use Keras-MetaLearning 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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