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
• DEAP / deap
  Distributed Evolutionary Algorithms in Python
  ☆6,039Updated 3 months ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆211Updated last month
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,764Updated last year
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,123Updated last year
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,144Updated this week
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,558Updated 5 years ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆163Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,621Updated 3 weeks ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,396Updated 7 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆418Updated last year
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆694Updated 2 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆942Updated 2 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆880Updated 4 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,561Updated 8 months ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆458Updated last year
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,644Updated 4 years ago
• pydata / bottleneck
  Fast NumPy array functions written in C
  ☆1,106Updated last week
• DEAP / notebooks
  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
  ☆232Updated 3 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,866Updated 2 months ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 5 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,012Updated 5 months ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆312Updated 8 years ago
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆966Updated last week
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆2,963Updated 9 months ago
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,223Updated this week
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,512Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆853Updated last year
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆628Updated 3 months ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆696Updated 5 months ago