GitHub topics: entity-embedding

Repositories

entron/entity-embedding-rossmann

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 873 - Forks: 324

rodrigobressan/entity_embeddings_categorical

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Language: Python - Size: 6.56 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 70 - Forks: 19

aqibsaeed/Entity-Embedding-with-LSTM-for-Time-Series

Entity Embedding with LSTM for Time Series

Language: Jupyter Notebook - Size: 356 KB - Last synced at: 16 days ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 11

zhongziyue/SDEA

Semantics Driven Embedding Learning for Effective Entity Alignment, ICDE 2022

Language: Python - Size: 7.87 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

Shuailong/EntityWord2Vec

Train word2vec and keeps all entities regardless of their frequency

Language: Python - Size: 619 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

mmortazavi/EntityEmbedding-Working_Example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

Language: Jupyter Notebook - Size: 653 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 75 - Forks: 32

thecml/neural_embedder

A small library that can encode categorical variables to entity embeddings using a TensorFlow 2.0 neural network. Supports classification and regression problems. Network parameters are adjustable.

Language: Python - Size: 81.1 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0