Alternatives and similar repositories for EQL

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

• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆75Updated 2 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆96Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆78Updated 2 years ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆266Updated this week
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆56Updated 6 years ago
• luckystarufo / multiscale_HiTS
  ☆72Updated 4 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆109Updated 2 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆31Updated 4 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• martius-lab / EQL_Tensorflow
  Tensorflow implementation of equation learner
  ☆32Updated 4 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated 2 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆142Updated 2 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆44Updated 3 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆24Updated 5 years ago
• jpzxshi / learner
  ☆23Updated last month
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆54Updated 3 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆54Updated last year
• hvarfner / vanilla_bo_in_highdim
  ☆29Updated 5 months ago
• Crunch-UQ4MI / neuraluq
  ☆184Updated 4 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆238Updated last month
• kpchamp / SindyAutoencoders
  ☆362Updated 3 years ago
• dcshapiro / AI-Feynman
  ☆30Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago