Alternatives and similar repositories for tabnet:

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

• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,455Updated this week
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆947Updated 3 months ago
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆868Updated last month
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,447Updated 2 months ago
• jrzaurin / pytorch-widedeep
  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
  ☆1,321Updated 3 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,682Updated last week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,080Updated this week
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,141Updated this week
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,302Updated last month
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,425Updated this week
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆486Updated 4 years ago
• optuna / optuna-examples
  Examples for https://github.com/optuna/optuna
  ☆722Updated this week
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,420Updated 10 months ago
• timeseriesAI / tsai
  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…
  ☆5,437Updated this week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆1,987Updated 2 weeks ago
• LeoGrin / tabular-benchmark
  ☆469Updated 6 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,390Updated this week
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,383Updated 2 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,550Updated 6 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,965Updated 2 weeks ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆242Updated last year
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆603Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆572Updated 8 months ago
• cdpierse / transformers-interpret
  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
  ☆1,325Updated last year
• salesforce / OmniXAI
  OmniXAI: A Library for eXplainable AI
  ☆898Updated 6 months ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆533Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆606Updated last year
• zalandoresearch / pytorch-ts
  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
  ☆1,281Updated 8 months ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,715Updated 2 weeks ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆336Updated 2 months ago