Alternatives and similar repositories for ellyn

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

• ffx-org / ffx
  Fast Function Extraction
  ☆85Updated last month
• lacava / ellen
  linear genetic programming system for symbolic regression and classification.
  ☆35Updated 8 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆111Updated 2 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆36Updated 5 months ago
• mgraffg / EvoDAG
  Evolving Directed Acyclic Graph
  ☆29Updated 2 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 3 months ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 2 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆55Updated last year
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆40Updated last year
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 6 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated last month
• erp12 / pyshgp
  Push Genetic Programming in Python.
  ☆75Updated 2 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 10 years ago
• automl / random_forest_run
  ☆38Updated 11 months ago
• leap-ec / LEAP
  A general purpose Library for Evolutionary Algorithms in Python.
  ☆96Updated 3 months ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆52Updated 3 months ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 12 years ago
• EC-KitY / EC-KitY
  EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
  ☆97Updated 6 months ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• PonyGE / PonyGE2
  PonyGE2: grammatical evolution and variants in Python
  ☆171Updated last month
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 5 years ago
• Decadz / Genetic-Programming-with-Rademacher-Complexity
  Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Pap…
  ☆16Updated 2 years ago
• Happy-Algorithms-League / hal-cgp
  Cartesian genetic programming (CGP) in pure Python.
  ☆34Updated last year
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated last month
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 2 months ago
• matthewjwoodruff / pareto.py
  Nondominated sorting for multi-objective problems
  ☆115Updated 7 years ago