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
  ☆857Updated last year
• 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
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆552Updated 2 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 10 months ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆430Updated 7 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 4 months ago
• Far0n / kaggletils
  ☆383Updated 8 years ago
• entron / entity-embedding-rossmann
  ☆872Updated 5 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,327Updated 6 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆490Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,580Updated 11 months ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆643Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆633Updated 2 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 3 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆423Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,638Updated 3 months ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 7 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆941Updated last year
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆519Updated 6 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆107Updated last year
• KazukiOnodera / Santander-Customer-Transaction-Prediction
  2nd Place Solution 💰🥈
  ☆162Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,453Updated last month