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
  ☆292Updated 2 months ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆106Updated 4 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"
  ☆771Updated 2 years ago
• SJ001 / AI-Feynman
  ☆733Updated last year
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆79Updated 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
• samholt / DeepGenerativeSymbolicRegression
  Deep Generative Symbolic Regression Code
  ☆28Updated 2 years ago
• vastlik / symformer
  ☆31Updated 3 years ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆718Updated 3 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…
  ☆273Updated this week
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆61Updated last month
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆244Updated last week
• kartelj / rils-rols
  RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
  ☆17Updated 7 months ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆501Updated 4 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆533Updated 3 months ago
• sdascoli / odeformer
  ☆69Updated last year
• uber-research / TuRBO
  ☆221Updated last year
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆192Updated last month
• intell-sci-comput / PSE
  Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. …
  ☆91Updated 3 weeks ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆36Updated last year
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago
• SymposiumOrganization / ControllableNeuralSymbolicRegression
  ☆13Updated 2 years ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆218Updated 10 months ago
• kpchamp / SindyAutoencoders
  ☆379Updated 4 years ago
• BoyuanChen / neural-state-variables
  ☆178Updated 3 years ago
• dandip / DSRPytorch
  Pytorch implementation of Deep Symbolic Regression
  ☆14Updated 4 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆146Updated 2 years ago