Alternatives and similar repositories for vecstack

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

• h2oai / pystacknet
  ☆289Updated 3 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆858Updated last year
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆551Updated 2 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆764Updated 4 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 10 months ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• Far0n / kaggletils
  ☆383Updated 8 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆489Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆632Updated 2 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,578Updated 10 months ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆618Updated 3 months ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,325Updated 6 years ago
• andosa / treeinterpreter
  ☆759Updated last year
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆172Updated 3 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆641Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,635Updated 2 months ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆835Updated 4 months ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 6 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆243Updated 2 years ago
• entron / entity-embedding-rossmann
  ☆872Updated 5 years ago
• jeongyoonlee / Kaggler
  Code for Kaggle Data Science Competitions
  ☆752Updated last year
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆107Updated last year
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 3 months ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆326Updated last year
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆490Updated 4 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆774Updated 4 years ago