Alternatives and similar repositories for deap

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

• trevorstephens / gplearn
  Genetic Programming in Python, with a scikit-learn inspired API
  ☆1,786Updated last week
• ljvmiranda921 / pyswarms
  A research toolkit for particle swarm optimization in Python
  ☆1,379Updated last year
• Project-Platypus / Platypus
  A Free and Open Source Python Library for Multiobjective Optimization
  ☆639Updated last month
• anyoptimization / pymoo
  NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
  ☆2,755Updated last month
• ahmedfgad / GeneticAlgorithmPython
  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
  ☆2,164Updated 6 months ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,144Updated 7 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,807Updated last year
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,270Updated last month
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,443Updated last week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,597Updated last month
• perrygeo / simanneal
  Python module for Simulated Annealing optimization
  ☆684Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆771Updated last year
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆10,041Updated 4 months ago
• jMetal / jMetalPy
  A framework for single/multi-objective optimization with metaheuristics
  ☆585Updated last month
• DEAP / notebooks
  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
  ☆237Updated 4 years ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆8,036Updated last week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,954Updated 6 months ago
• PytLab / gaft
  A Genetic Algorithm Framework in Python (not for production level)
  ☆747Updated 7 years ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,449Updated this week
• hmmlearn / hmmlearn
  Hidden Markov Models in Python, with scikit-learn like API
  ☆3,361Updated last year
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,138Updated 7 months ago
• geatpy-dev / geatpy
  Evolutionary algorithm toolbox and framework with high performance for Python
  ☆2,111Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,897Updated 7 months ago
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆9,086Updated 2 months ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,091Updated last week
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,562Updated 6 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 9 months ago
• pgmpy / pgmpy
  Python library for Causal AI
  ☆3,137Updated this week
• handcraftsman / GeneticAlgorithmsWithPython
  source code from the book Genetic Algorithms with Python by Clinton Sheppard
  ☆1,258Updated 3 years ago
• keras-rl / keras-rl
  Deep Reinforcement Learning for Keras.
  ☆5,557Updated 2 years ago