metric_learning_paddle

by jm12138 Python Version: Current License: Apache-2.0

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

kandi X-RAY | metric_learning_paddle Summary

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

metric_learning_paddle

Support

Quality

Security

License

Reuse

Support

metric_learning_paddle has a low active ecosystem.

It has 11 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of metric_learning_paddle is current.

Quality

metric_learning_paddle has no bugs reported.

Security

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

License

metric_learning_paddle is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Train the model
Generates an iterator over the training data
Create a reader for the metrics
Generator for training arc margin
Convolution layer
Create a convolution layer
Bottleneck block
Create a shortcut layer
Evaluate the model
Builds the network
Uses ghost module
Divide v with divisor
Depth - wise convolution layer
Infer a model
Save inference model
Process an image
Rotate an image
Calculate the layer loss
Generate an index for each class
Calculate the order distance matrix
R Solve the surrogate function
Prints configuration arguments
Check if the model is running on GPU
Convert log to cce
Parse the log file
Calculate the loss of the layer

Get all kandi verified functions for this library.

metric_learning_paddle Key Features

No Key Features are available at this moment for metric_learning_paddle.

metric_learning_paddle Examples and Code Snippets

No Code Snippets are available at this moment for metric_learning_paddle.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install metric_learning_paddle

You can download it from GitHub.
You can use metric_learning_paddle 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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