Alternatives and similar repositories for feat:

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

• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆53Updated last year
• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆55Updated 2 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆31Updated 10 months ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆33Updated last year
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 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…
  ☆15Updated last year
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆93Updated 3 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆49Updated 2 weeks ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆39Updated last year
• natekupp / ffx
  Fast Function Extraction
  ☆82Updated 5 months ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆77Updated 6 months ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆26Updated 3 years ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆247Updated 4 months ago
• VicentePerezSoloviev / EDAspy
  Estimation of Distribution algorithms Python package
  ☆42Updated 8 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…
  ☆44Updated 3 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆32Updated 3 years ago
• marcovirgolin / genepro
  A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
  ☆33Updated 8 months ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆49Updated 4 months ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated last year
• kartelj / rils-rols
  RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
  ☆12Updated last month
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆54Updated last year
• digital-idiot / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆15Updated 3 months ago
• cdvetal / TensorGP
  A vectorized approach to Genetic Programming
  ☆44Updated last month
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆66Updated 4 months ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆56Updated 6 years ago
• janoPig / HROCH
  Extremly fast c++/python symbolic regression library based on parallel local search.
  ☆16Updated 5 months ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆30Updated last year