entity-embedding

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entron /entity-embedding-rossmann

Star871

kaggle categorical-data categorical-features entity-embedding one-hot-encoding

UpdatedJan 21, 2020
Jupyter Notebook

DerwenAI /strwythura

Star186

Strwythura: construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain

nlp machine-learning entity-resolution ontology knowledge-graph named-entity-recognition entity-linking relation-extraction unstructured-data entity-embedding semantic-layer textgraphs vector-database dspy graphrag semantic-expansion semantic-random-walk ontology-pipeline

UpdatedDec 16, 2025
Jupyter Notebook

mmortazavi /EntityEmbedding-Working_Example

Star74

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

encoding python3 neural-networks categorical-features entity-embedding

UpdatedFeb 23, 2019
Jupyter Notebook

rodrigobressan /entity_embeddings_categorical

Star70

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

machine-learning keras embeddings neural-networks utility-library pre-processing categorical-data entity-embedding

UpdatedDec 8, 2022
Python

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

Star31

Entity Embedding with LSTM for Time Series

time-series lstm forecasting entity-embedding

UpdatedJun 18, 2020
Jupyter Notebook

DerwenAI /cdl-2025-masterclass

Star13

Connected Data London 2025 Masterclass: Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs

entity-resolution thesaurus open-data knowledge-graph graph-visualization ner entity-linking anti-fraud synthetic-data unstructured-data entity-embedding textgraphs money-laundering graphrag context-engineering semantic-expansion semantic-random-walk ontology-pipeline leaked-data human-scale

UpdatedNov 20, 2025
Jupyter Notebook

ankishb /ml-toolbox

Star8

This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

data-science machine-learning text-mining h2o feature-engineering bayesian-optimization statsmodels ensemble-model entity-embedding

UpdatedJul 1, 2020
Python

zhongziyue /SDEA

Star8

Semantics Driven Embedding Learning for Effective Entity Alignment, ICDE 2022

transformer entity-embedding entity-alignment semantics-driven knowledge-base-integration sdea

UpdatedAug 14, 2022
Python

ajinkyaT /Deep_learning_Entity_Embeddings

Star4

Deep Learning and Entity Embeddings to predict driving behaviour and cluster accident hotspots

deep-learning driving-behavior keras-tensorflow entity-embedding

UpdatedOct 24, 2018
Jupyter Notebook

thecml /neural_embedder

Star1

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.

machine-learning neural-network tensorflow keras regression embeddings classification categorical-data entity-embedding