Samesame | keras implementation of Same , Same But Different | Machine Learning library

by Adamdad Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Samesame Summary

Samesame is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. Samesame has no bugs, it has no vulnerabilities and it has low support. However Samesame build file is not available. You can download it from GitHub.

An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization(---ICML2019

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Quality

Security

License

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Support

Samesame has a low active ecosystem.

It has 7 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Samesame has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Samesame is current.

Quality

Samesame has no bugs reported.

Security

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

License

Samesame does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Samesame releases are not available. You will need to build from source code and install.

Samesame has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Command line for equalization
Compute the equalization of the input tensor
Evaluate model
Disable the model
Saves weights to the model
Evaluate the given model
Prepare dataset for training images
Generate images and labels
Load an image
Compute the equalization of the input
Get features from the input tensor
Divide x and y
Load image
Saves weights to model
Plot a visual graph

Get all kandi verified functions for this library.

Samesame Key Features

No Key Features are available at this moment for Samesame.

Samesame Examples and Code Snippets

No Code Snippets are available at this moment for Samesame.

Community Discussions

Trending Discussions on Samesame

Check it List of objects contains string

QUESTION

Check it List of objects contains string

Asked 2018-Apr-16 at 14:02

here is my function

...

ANSWER

Answered 2018-Apr-16 at 13:57

You cannot compare bananas and apples.

Here :

Source https://stackoverflow.com/questions/49858795

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

Vulnerabilities

No vulnerabilities reported

Install Samesame

This code has been tested on Ubuntu 18.04, Python 3.7, Tensorflow 2.0.
Clone this repository git clone https://github.com/Adamdad/Samesame.git
Network equalization python equalization.py In this code, I default equalize the Inception_v3 implemented by keras.application
Network visualization(in visual_weights_per_channel.py) Per-channel convolution kernel weight visualization def visual_weight(model) Per-channel activation feature map visualization def visual_activation(model,x) Network architecture visualization def visual_graph(model,fig_name='model.png')

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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