Alternatives and similar repositories for Autoencoder

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

• ryancheunggit / tabular_dae
  ☆51Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆214Updated 9 months ago
• cran2367 / pca-autoencoder-relationship
  Understand the relationship between PCA and autoencoder
  ☆31Updated 5 years ago
• cran2367 / sgt
  Sequence Graph Transform
  ☆109Updated 5 years ago
• zjost / blog_code
  A repo for holding example code
  ☆155Updated 3 weeks ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆147Updated 4 years ago
• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 2 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆133Updated 2 months ago
• sbadirli / GrowNet
  ☆203Updated 3 years ago
• lmassaron / deep_learning_for_tabular_data
  A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
  ☆45Updated 2 years ago
• Rakeshsuku / Medium-Blog
  Code files for my medium blog
  ☆17Updated 4 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆242Updated 2 years ago
• yandex-research / GBDT-uncertainty
  ☆57Updated last year
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆119Updated 3 years ago
• nd7141 / bgnn
  ☆170Updated 11 months ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆164Updated 11 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆98Updated 2 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆85Updated 2 years ago
• AlliedToasters / dfencoder
  ☆130Updated 2 years ago
• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆44Updated 6 years ago
• jafetgado / resreg
  Resampling strategies for regression
  ☆27Updated 4 years ago
• tunguz / TabularBenchmarks
  ☆199Updated last week
• lschmiddey / deep_tabular_augmentation
  ☆21Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year