Alternatives and similar repositories for symbolic-regression-python

Users that are interested in symbolic-regression-python are comparing it to the libraries listed below

• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆27Updated 3 years ago
• Avidereta / risk-averse-hetero-bo
  Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021
  ☆15Updated 3 years ago
• 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 last month
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 3 months ago
• Decadz / Genetic-Programming-with-Rademacher-Complexity
  [CEC 2019] Genetic Programming with Rademacher Complexity. Paper Link: https://ieeexplore.ieee.org/document/8790341
  ☆16Updated 2 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 6 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆275Updated last week
• marcovirgolin / genepro
  A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
  ☆34Updated last month
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆78Updated 11 months ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆33Updated 4 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆36Updated last year
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆47Updated 4 years ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆41Updated 6 months ago
• AlejandroSantorum / scikit-rmt
  Random Matrix Theory library - RMT analysis and simulation in Python
  ☆51Updated 2 weeks ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆83Updated last year
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆55Updated 4 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆36Updated 7 months ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆61Updated last year
• datasig-ac-uk / esig
  esig python package
  ☆49Updated 10 months ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 6 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆51Updated 6 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• usnistgov / optbayesexpt
  Optimal Bayesian Experiment Design
  ☆41Updated last year
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• ilijabogunovic / Robust-BO
  List of papers on robust Bayesian optimization
  ☆17Updated 3 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆116Updated 2 years ago