Alternatives and similar repositories for pyoperon

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

• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆173Updated 3 weeks ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆55Updated last year
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆269Updated 3 weeks ago
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆29Updated 3 years ago
• DeaglanBartlett / ESR
  ☆30Updated 2 weeks ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆35Updated last year
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆82Updated 11 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…
  ☆52Updated 3 years ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• hftsoi / symbolfit
  Automatic parametric modeling with symbolic regression
  ☆54Updated last month
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆35Updated last year
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆26Updated 3 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆74Updated 8 months ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆75Updated 9 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆239Updated last week
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆97Updated 4 months ago
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆85Updated 2 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 10 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆65Updated last month
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆99Updated 4 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆110Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• nmakke / SR-LivingReview
  ☆19Updated last year