Alternatives and similar repositories for deep-symbolic-optimization

Users that are interested in deep-symbolic-optimization are comparing it to the libraries listed below

• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆284Updated last month
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆104Updated 3 months ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆124Updated 3 years ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆768Updated 2 years ago
• SJ001 / AI-Feynman
  ☆726Updated last year
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆77Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated 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…
  ☆55Updated 4 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆78Updated last year
• vastlik / symformer
  ☆31Updated 2 years ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…
  ☆271Updated this week
• kartelj / rils-rols
  RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
  ☆17Updated 6 months ago
• samholt / DeepGenerativeSymbolicRegression
  Deep Generative Symbolic Regression Code
  ☆27Updated 2 years ago
• uber-research / TuRBO
  ☆214Updated last year
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆494Updated 4 years ago
• CyberAgentAILab / cmaes
  Python library for CMA Evolution Strategy.
  ☆466Updated last week
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆527Updated 2 months ago
• MilesCranmer / PySR
  High-Performance Symbolic Regression in Python and Julia
  ☆3,245Updated 2 weeks ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆242Updated last month
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆188Updated 2 weeks ago
• 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…
  ☆24Updated 5 months ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆695Updated 2 months ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆59Updated 3 weeks ago
• kpchamp / SindyAutoencoders
  ☆377Updated 4 years ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆219Updated 8 months ago
• sdascoli / odeformer
  ☆69Updated last year
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆684Updated 3 years ago
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆289Updated 10 months ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,540Updated last year
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago