Alternatives and similar repositories for feat

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

• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆59Updated 3 years ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆57Updated 4 months ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• Decadz / Genetic-Programming-with-Rademacher-Complexity
  [CEC 2019] Genetic Programming with Rademacher Complexity. Paper Link: https://ieeexplore.ieee.org/document/8790341
  ☆17Updated 2 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆36Updated 3 weeks ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆67Updated last month
• MaLeLabTs / GPFormulasInterpretability
  Meta-learning approach for human-interpretable formulas generation
  ☆10Updated 5 years ago
• usnistgov / optbayesexpt
  Optimal Bayesian Experiment Design
  ☆41Updated last year
• hengzhe-zhang / EvolutionaryForest
  An open source python library for automated feature engineering based on Genetic Programming
  ☆158Updated last month
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆219Updated 10 months ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆292Updated 3 months ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated last year
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆247Updated 3 weeks ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated 3 weeks ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆57Updated 6 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆139Updated 5 months ago
• VicentePerezSoloviev / EDAspy
  Estimation of Distribution algorithms Python package
  ☆42Updated last year
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 6 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆103Updated 8 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆157Updated 4 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆27Updated 3 years ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆42Updated 3 months ago
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆113Updated 3 years ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆104Updated 2 years ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆94Updated this week
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago