Alternatives and similar repositories for rils-rols

Users that are interested in rils-rols are comparing it to the libraries listed below

• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆273Updated 2 months ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆35Updated last year
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆681Updated 8 months ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆100Updated last month
• nikivanstein / BIAS
  ☆13Updated last month
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆112Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆82Updated last year
• 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
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆36Updated 7 months ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• vastlik / symformer
  ☆30Updated 2 years ago
• samholt / DeepGenerativeSymbolicRegression
  Deep Generative Symbolic Regression Code
  ☆26Updated last year
• mojivalipour / symbolicgpt
  Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…
  ☆53Updated 3 years ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆57Updated last week
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆179Updated last month
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆57Updated this week
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆25Updated 2 years ago
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆34Updated 4 years ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆218Updated 6 months ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…
  ☆258Updated this week
• AILWQ / DySymNet
  [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…
  ☆19Updated 3 months ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆764Updated last year
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆26Updated 3 years ago
• xKuZz / pyade
  Python Advanced Differential Evolution
  ☆45Updated last year
• hengzhe-zhang / EvolutionaryForest
  An open source python library for automated feature engineering based on Genetic Programming
  ☆153Updated 2 months ago
• hengzhe-zhang / awesome-genetic-programming
  A curated list of resources for genetic programming.
  ☆61Updated 9 months ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆61Updated 2 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…
  ☆16Updated 2 years ago
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆26Updated 2 months ago