Alternatives and similar repositories for Symbolic-Regression

Users that are interested in Symbolic-Regression are comparing it to the libraries listed below

• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆82Updated 10 months ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆75Updated 2 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• luckystarufo / multiscale_HiTS
  ☆72Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• Rachnog / Neural-Networks-for-Differential-Equations
  UNIVR PDE course project and just for fun
  ☆117Updated 8 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated 2 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• aboustati / dgplib
  Library for Deep Gaussian Processes based on GPflow
  ☆19Updated 5 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆221Updated 4 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 5 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆54Updated last year
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• timudk / SPDENN
  A Discussion on Solving Partial Differential Equations using Neural Networks
  ☆66Updated 6 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆188Updated 3 years ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 5 years ago
• eth-nn-physics / nn_physical_concepts
  ☆177Updated 2 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 5 years ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• HuongHa12 / BO_unknown_searchspace
  This repository contains the code for the method GPUCB-UBO proposed in the paper 'Bayesian Optimization with Unknown Search Space', NeurI…
  ☆9Updated 5 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆67Updated 5 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆53Updated 6 years ago