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
  ☆266Updated this week
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆96Updated 4 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆109Updated 2 years ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆759Updated last year
• SJ001 / AI-Feynman
  ☆700Updated last year
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆75Updated 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…
  ☆51Updated 3 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆74Updated 9 months ago
• vastlik / symformer
  ☆30Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆82Updated 10 months ago
• kartelj / rils-rols
  RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
  ☆15Updated 2 months ago
• samholt / DeepGenerativeSymbolicRegression
  Deep Generative Symbolic Regression Code
  ☆26Updated last year
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆479Updated 4 years ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆651Updated last month
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from e…
  ☆250Updated this week
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆504Updated last year
• MilesCranmer / PySR
  High-Performance Symbolic Regression in Python and Julia
  ☆3,001Updated last week
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆54Updated last week
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆171Updated this week
• kpchamp / SindyAutoencoders
  ☆362Updated 3 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆34Updated last year
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆238Updated last month
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆772Updated last year
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆941Updated 2 months ago
• CyberAgentAILab / cmaes
  Python library for CMA Evolution Strategy.
  ☆437Updated 2 weeks ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆421Updated last year
• uber-research / TuRBO
  ☆202Updated last year
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆661Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago