entity-embedding

There are 4 repositories under entity-embedding topic.

entron / entity-embedding-rossmann
categorical-data categorical-features entity-embedding kaggle one-hot-encoding
Language:Jupyter Notebook 868
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.
categorical-features encoding entity-embedding neural-networks python3
Language:Jupyter Notebook 76
rodrigobressan / entity_embeddings_categorical
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
neural-networks entity-embedding categorical-data machine-learning keras embeddings pre-processing utility-library
Language:Python 69
aqibsaeed / Entity-Embedding-with-LSTM-for-Time-Series
Entity Embedding with LSTM for Time Series
entity-embedding forecasting lstm time-series
Language:Jupyter Notebook 30
ankishb / ml-toolbox
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 feature-engineering h2o bayesian-optimization text-mining entity-embedding ensemble-model statsmodels
Language:Python 7
zhongziyue / SDEA
Semantics Driven Embedding Learning for Effective Entity Alignment, ICDE 2022
entity-alignment entity-embedding knowledge-base-integration sdea semantics-driven transformer
Language:Python 5
ajinkyaT / Deep_learning_Entity_Embeddings
Deep Learning and Entity Embeddings to predict driving behaviour and cluster accident hotspots
deep-learning entity-embedding driving-behavior keras-tensorflow
Language:Jupyter Notebook 4
Shuailong / EntityWord2Vec
Train word2vec and keeps all entities regardless of their frequency
entity-embedding gensim-word2vec word2vec
Language:Python 1
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.
neural-network entity-embedding categorical-data machine-learning keras tensorflow embeddings classification regression
Language:Python 1
jasoriya / Mercari-Price-Suggestion-Challenge
Kaggle Competition
entity-embedding xgboost-regression rnn-gru regression
Language:Jupyter Notebook 0

entity-embedding

entron / entity-embedding-rossmann

mmortazavi / EntityEmbedding-Working_Example

rodrigobressan / entity_embeddings_categorical

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

ankishb / ml-toolbox

zhongziyue / SDEA

ajinkyaT / Deep_learning_Entity_Embeddings

Shuailong / EntityWord2Vec

thecml / neural_embedder

jasoriya / Mercari-Price-Suggestion-Challenge