Alternatives and similar repositories for genepro:

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

• cdvetal / TensorGP
  A vectorized approach to Genetic Programming
  ☆44Updated last month
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆31Updated 10 months ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• bdsul / grape
  Repository to host the GRAPE code developed by the BDS group
  ☆10Updated 6 months ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆34Updated 2 weeks ago
• EC-KitY / EC-KitY
  EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
  ☆93Updated last month
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆53Updated last year
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆32Updated last year
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years 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
• DMTSource / deap_ray
  Ray based map function for Deap with examples. Automatically batches iterator to multiple workers for many processors or clusters.
  ☆15Updated 4 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆32Updated 3 years ago
• jespb / Python-M3GP
  An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populati…
  ☆9Updated last week
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆77Updated 5 months ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆87Updated 3 years ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆211Updated last week
• jmberutich / GeneticProgrammingTradingExperiments
  Code from the paper "Robust technical trading strategies using GP for algorithmic portfolio selection"
  ☆10Updated 5 years ago
• 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
• Ohjeah / cartesian
  a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.
  ☆23Updated 5 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆98Updated 2 years ago
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆26Updated 3 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆49Updated last week
• msabvid / robust_nsde
  Robust pricing and hedging via Neural SDEs
  ☆32Updated 3 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
• Avidereta / risk-averse-hetero-bo
  Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021
  ☆14Updated 3 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆55Updated 6 years ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆247Updated 4 months ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 2 years ago