Alternatives and similar repositories for entity_embeddings_categorical

Users that are interested in entity_embeddings_categorical are comparing it to the libraries listed below

• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆35Updated 8 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 5 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 8 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• CyberZHG / keras-adabound
  AdaBound optimizer in Keras
  ☆56Updated 5 years ago
• PanpanZheng / SAFE
  ☆35Updated 5 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 6 years ago
• aajanki / sequence-classification
  Scikit-learn compatible sequence classifier
  ☆23Updated 7 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• HazyResearch / snorkel-superglue
  Applying Snorkel to SuperGLUE
  ☆26Updated 5 years ago
• eggie5 / NCE-loss
  Tensorflow NCE loss in Keras
  ☆34Updated 7 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 4 months ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆44Updated 4 months ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆97Updated 6 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• JovianHQ / kernel-run
  Run any Jupyter notebook instantly using Kaggle kernels
  ☆63Updated 5 years ago
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆28Updated 7 years ago