Alternatives and similar repositories for vecstack:

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

• h2oai / pystacknet
  ☆286Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆848Updated last year
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆379Updated 3 years ago
• Far0n / kaggletils
  ☆381Updated 7 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆551Updated 2 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆849Updated 4 months ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆426Updated 7 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 3 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆218Updated 3 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 3 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆482Updated 9 months ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆623Updated last year
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆484Updated 3 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆497Updated 7 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,320Updated 6 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,539Updated 5 months ago
• jeongyoonlee / Kaggler
  Code for Kaggle Data Science Competitions
  ☆746Updated 8 months ago
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆172Updated 2 years ago
• andosa / treeinterpreter
  ☆749Updated last year
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 2 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆605Updated 3 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆625Updated 11 months ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆301Updated 6 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆364Updated 4 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆415Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆411Updated last year
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆824Updated last year
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,420Updated last week
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆311Updated 11 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,598Updated 6 months ago