Alternatives and similar repositories for SymbolicRegression

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

• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 3 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 3 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• kpchamp / MultiscaleDiscovery
  ☆30Updated 7 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆27Updated 4 years ago
• wesg52 / sindy_mio_paper
  Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
  ☆15Updated 3 years ago
• cselab / LED
  ☆21Updated 2 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 3 years ago
• mariusmerkle / TL-PINNs
  Boosting the training of physics informed neural networks with transfer learning
  ☆26Updated 4 years ago
• Baldea-Group / DySMHO
  ☆10Updated 2 years ago
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 6 years ago
• delta-lab-ai / pde-controller
  ☆22Updated 3 months ago
• zxgcqupt / PINNs4SRA
  ☆13Updated 9 months ago
• Blue-Giant / PIELM_Numpy
  Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
  ☆13Updated 9 months ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆20Updated 3 years ago
• MunzirH / Applications-of-Physics-Informed-Machine-Learning
  🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…
  ☆11Updated 10 months ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 3 years ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• arbabiha / DMD-for-ergodic-systems
  Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition
  ☆10Updated 5 years ago
• ContiPaolo / MultiFidelity_NNs
  Multi-fidelity regression with neural networks
  ☆15Updated 9 months ago
• zhong1wan / data-assisted
  Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…
  ☆21Updated 7 years ago
• tmglncc / SINDy-SA
  SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis
  ☆11Updated 4 months ago
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆24Updated last year
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆44Updated 2 years ago
• JRice15 / physics-informed-autoencoders
  Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…
  ☆36Updated last week
• yongqianxiao / share_repo
  This repo was created for sharing academic notes and files
  ☆11Updated last month
• geekyifei / randomized-PINN
  Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
  ☆10Updated 5 months ago