https://github.com/cyberzhg/keras-embed-sim

Calculate similarity with embedding
https://github.com/cyberzhg/keras-embed-sim

embedding keras

Last synced: 20 days ago
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Calculate similarity with embedding

• Host: GitHub
• URL: https://github.com/cyberzhg/keras-embed-sim
• Owner: CyberZHG
• License: mit
• Archived: true
• Created: 2018-12-09T08:51:22.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-01-22T09:41:59.000Z (almost 4 years ago)
• Last Synced: 2025-08-27T05:37:08.463Z (2 months ago)
• Topics: embedding, keras
• Language: Python
• Homepage: https://pypi.org/project/keras-embed-sim/
• Size: 15.6 KB
• Stars: 11
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Keras Embedding Similarity

[![Version](https://img.shields.io/pypi/v/keras-embed-sim.svg)](https://pypi.org/project/keras-embed-sim/)

![License](https://img.shields.io/pypi/l/keras-embed-sim.svg)

\[[中文](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.md)\]

Compute the similarity between the outputs and the embeddings.

## Install

```bash

pip install keras-embed-sim

```

## Usage

```python

from tensorflow import keras

from keras_embed_sim import EmbeddingRet, EmbeddingSim

input_layer = keras.layers.Input(shape=(None,), name='Input')

embed, embed_weights = EmbeddingRet(

    input_dim=20,

    output_dim=100,

    mask_zero=True,

)(input_layer)

output_layer = EmbeddingSim()([embed, embed_weights])

```