Alternatives and similar repositories for gplearn

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

• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆773Updated last year
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,134Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,789Updated last year
• DEAP / deap
  Distributed Evolutionary Algorithms in Python
  ☆6,182Updated 3 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,644Updated 4 months ago
• soravux / scoop
  SCOOP (Scalable COncurrent Operations in Python)
  ☆653Updated 2 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆464Updated 2 years ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆218Updated 5 months ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,188Updated this week
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆947Updated 2 years ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,468Updated 5 months ago
• aarongarrett / inspyred
  Python library for bio-inspired computational intelligence
  ☆199Updated 10 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,586Updated last year
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆698Updated last month
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆698Updated 2 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,560Updated 5 years ago
• Project-Platypus / Platypus
  A Free and Open Source Python Library for Multiobjective Optimization
  ☆624Updated 2 weeks ago
• DEAP / notebooks
  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
  ☆237Updated 3 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆877Updated 5 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• hmmlearn / hmmlearn
  Hidden Markov Models in Python, with scikit-learn like API
  ☆3,218Updated 10 months ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆970Updated last week
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆840Updated 6 months ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,111Updated 2 months ago
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,134Updated 4 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,393Updated 8 years ago
• X-DataInitiative / tick
  Module for statistical learning, with a particular emphasis on time-dependent modelling
  ☆520Updated 9 months ago
• pgmpy / pgmpy
  Python library for building, learning, and reasoning with causal models.
  ☆3,027Updated this week