DEAP / notebooks

Related projects ⓘ

Alternatives and complementary repositories for notebooks

• lmarti / evolutionary-computation-course
  Jupyter/IPython notebooks about evolutionary computation.
  ☆247Updated 7 years ago
• aarongarrett / inspyred
  Python library for bio-inspired computational intelligence
  ☆190Updated 3 weeks ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆248Updated last year
• Project-Platypus / Platypus
  A Free and Open Source Python Library for Multiobjective Optimization
  ☆573Updated last month
• coin-or / rbfopt
  RBFOpt library for black-box optimization
  ☆188Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆772Updated 9 months ago
• remiomosowon / pyeasyga
  A simple and easy-to-use implementation of a Genetic Algorithm library in Python
  ☆129Updated 3 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆270Updated 3 years ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆161Updated 2 years ago
• vanhooser / TF-Genetic
  Evolutionary Neural Networks backed by TensorFlow and pure Python
  ☆108Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆223Updated 3 years ago
• jliphard / DeepEvolve
  Rapid hyperparameter discovery for neural nets using genetic algorithms
  ☆180Updated 3 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆165Updated last year
• jMetal / jMetalPy
  A framework for single/multi-objective optimization with metaheuristics
  ☆526Updated last week
• chrisstroemel / Simple
  Experimental Global Optimization Algorithm
  ☆481Updated 6 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• aqibsaeed / Genetic-Algorithm-RNN
  Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
  ☆79Updated 7 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆459Updated last year
• esa / pygmo
  Contains the sphinx documentation for PyGMO. To see the actual code, please use the PaGMO repository (https://github.com/esa/pagmo) as …
  ☆48Updated 8 years ago
• uber-research / EvoGrad
  ☆182Updated 3 months ago
• harvitronix / neural-network-genetic-algorithm
  Evolving a neural network with a genetic algorithm.
  ☆697Updated 6 years ago
• moshesipper / tiny_gp
  Tiny Genetic Programming in Python.
  ☆97Updated last year
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆136Updated last year
• Hvass-Labs / swarmops
  Heuristic Optimization for Python
  ☆72Updated 4 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆92Updated 3 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆267Updated 2 years ago
• esa / pagmo
  A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island…
  ☆270Updated 4 years ago
• guybedo / minos
  Deep learning, architecture and hyper parameters search with genetic algorithms
  ☆51Updated 3 months ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆308Updated 7 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆241Updated 2 years ago