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
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,800Updated last year
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,136Updated 2 years ago
• DEAP / deap
  Distributed Evolutionary Algorithms in Python
  ☆6,248Updated 6 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,647Updated 6 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆950Updated 2 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,562Updated 5 years ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,202Updated this week
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆218Updated 8 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,595Updated this week
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆423Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,889Updated 5 months ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆925Updated last month
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,395Updated 8 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆465Updated 2 years ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 3 years ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,124Updated 4 months ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,489Updated 8 months ago
• X-DataInitiative / tick
  Module for statistical learning, with a particular emphasis on time-dependent modelling
  ☆525Updated 11 months ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆699Updated 3 months ago
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆3,057Updated 2 weeks ago
• ljvmiranda921 / pyswarms
  A research toolkit for particle swarm optimization in Python
  ☆1,366Updated last year
• pydata / bottleneck
  Fast NumPy array functions written in C
  ☆1,148Updated 2 weeks ago
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,692Updated last week
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆688Updated 10 months ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago
• DEAP / notebooks
  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
  ☆238Updated 3 years ago
• itdxer / neupy
  NeuPy is a Tensorflow based python library for prototyping and building neural networks
  ☆735Updated 11 months ago