Alternatives and similar repositories for optuna-examples

Users that are interested in optuna-examples are comparing it to the libraries listed below

• optuna / optuna-dashboard
  Real-time Web Dashboard for Optuna.
  ☆700Updated this week
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆1,017Updated 8 months ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,589Updated last week
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,869Updated last year
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆1,071Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆580Updated last year
• LeoGrin / tabular-benchmark
  ☆493Updated last year
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆614Updated 11 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆305Updated last year
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆722Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆638Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆457Updated 3 years ago
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆346Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆529Updated 7 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,799Updated 3 weeks ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆384Updated 6 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆291Updated last week
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆170Updated last year
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆280Updated 2 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆393Updated 2 weeks ago
• 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…
  ☆673Updated 8 months ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆170Updated 4 years ago
• yandex-research / tabm
  (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
  ☆818Updated 2 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆343Updated 3 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆664Updated last week
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆545Updated 2 years ago
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆350Updated 4 years ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,156Updated last week