Alternatives and similar repositories for tensorflow-tabnet

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

• 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
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 4 months ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 5 years ago
• anonICLR2020 / node
  ☆26Updated 5 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆175Updated 3 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆120Updated 3 years ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 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
  ☆71Updated 4 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆59Updated last year
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆60Updated 7 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆28Updated last year
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year