Alternatives and similar repositories for tensorflow-tabnet

Users that are interested in tensorflow-tabnet are comparing it to the libraries listed below

• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆75Updated 2 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆245Updated 2 years ago
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆62Updated 2 years ago
• anonICLR2020 / node
  ☆26Updated 6 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 4 months ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 6 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• sbadirli / GrowNet
  ☆205Updated 4 years ago
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆57Updated 5 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆70Updated 5 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 3 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆123Updated 3 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated 2 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆66Updated 3 years ago
• rapidsai / gputreeshap
  ☆106Updated this week
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 7 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 3 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆63Updated last year
• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆33Updated 3 years ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆155Updated last year
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago