Alternatives and similar repositories for operon:

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

• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆52Updated last month
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆253Updated 2 weeks ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆53Updated last year
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆32Updated 11 months ago
• dietmarwo / fast-cma-es
  A Python 3 gradient-free optimization library
  ☆138Updated last month
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆27Updated 3 years ago
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆637Updated 3 months ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆33Updated last year
• kartelj / rils-rols
  RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
  ☆13Updated 2 months ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆81Updated 7 months ago
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆111Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆77Updated 7 months ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆93Updated 3 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆32Updated 3 years ago
• DeaglanBartlett / ESR
  ☆24Updated 2 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated last year
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆88Updated 3 years ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆74Updated 2 years ago
• bbopt / nomad
  NOMAD - A blackbox optimization software
  ☆136Updated 3 weeks ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆203Updated 5 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆230Updated 2 weeks ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated 2 weeks ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆235Updated last year
• esa / pygmo2
  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…
  ☆476Updated 8 months ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆80Updated 8 months ago
• kthohr / mcmc
  A C++ library of Markov Chain Monte Carlo (MCMC) methods
  ☆179Updated last year
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆507Updated 3 weeks ago
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆279Updated 3 months ago
• mojivalipour / symbolicgpt
  Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…
  ☆46Updated 3 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆56Updated last year