entity-embedding

Here are 10 public repositories matching this topic...

entron / entity-embedding-rossmann

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

Updated Jan 21, 2020
Jupyter Notebook

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.

encoding python3 neural-networks categorical-features entity-embedding

Updated Feb 23, 2019
Jupyter Notebook

rodrigobressan / entity_embeddings_categorical

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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

Updated Dec 8, 2022
Python

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

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Entity Embedding with LSTM for Time Series

time-series lstm forecasting entity-embedding

Updated Jun 18, 2020
Jupyter Notebook

ankishb / ml-toolbox

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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

Updated Jul 1, 2020
Python

zhongziyue / SDEA

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Semantics Driven Embedding Learning for Effective Entity Alignment, ICDE 2022

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

Updated Aug 14, 2022
Python

ajinkyaT / Deep_learning_Entity_Embeddings

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

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

Updated Oct 24, 2018
Jupyter Notebook

thecml / neural_embedder

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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