Alternatives and similar repositories for dcgp

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

• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆57Updated 4 months ago
• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆59Updated 3 years ago
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆199Updated this week
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• ffx-org / ffx
  Fast Function Extraction
  ☆86Updated 7 months ago
• cvxgrp / ncvx
  ☆77Updated 3 years ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆68Updated this week
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆116Updated 12 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆91Updated last month
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆274Updated 6 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆102Updated 6 years ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 3 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 7 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆37Updated 11 months ago
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆290Updated 2 months ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆292Updated 3 months ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 3 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• PonyGE / PonyGE2
  PonyGE2: grammatical evolution and variants in Python
  ☆174Updated 6 months ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆42Updated 3 months ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 6 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 10 months ago
• Ohjeah / cartesian
  a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.
  ☆24Updated 6 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆135Updated last month
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 months ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• lacava / ellen
  linear genetic programming system for symbolic regression and classification.
  ☆35Updated 8 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆169Updated 2 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 7 months ago