Alternatives and similar repositories for srbench:

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

• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆98Updated 2 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆87Updated 3 years ago
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆628Updated 2 months ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆70Updated last year
• vastlik / symformer
  ☆28Updated 2 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
• 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
• 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
  ☆32Updated last year
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆26Updated 3 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆77Updated 5 months ago
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆161Updated last month
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆53Updated last year
• AILWQ / Joint_Supervised_Learning_for_SR
  [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…
  ☆20Updated 5 months ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆39Updated 3 years ago
• sdascoli / odeformer
  ☆60Updated 7 months ago
• nmakke / SR-LivingReview
  ☆17Updated 11 months ago
• kartelj / rils-rols
  RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
  ☆11Updated last month
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆22Updated last year
• samholt / DeepGenerativeSymbolicRegression
  Deep Generative Symbolic Regression Code
  ☆23Updated last year
• AILWQ / DySymNet
  [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…
  ☆16Updated 3 months ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆49Updated last week
• deep-symbolic-mathematics / LLM-SR
  [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…
  ☆74Updated 2 weeks ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆32Updated 3 years ago
• deep-symbolic-mathematics / Multimodal-Math-Pretraining
  [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…
  ☆52Updated 5 months ago
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆110Updated 2 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆34Updated 2 weeks ago
• SJ001 / AI-Feynman
  ☆672Updated 8 months ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆745Updated last year