Alternatives and similar repositories for rbf_for_tf2

Users that are interested in rbf_for_tf2 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"
  ☆77Updated 2 years ago
• PetraVidnerova / rbf_keras
  RBF layer for Keras
  ☆144Updated 2 years ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆33Updated 4 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• YuntianChen / Hard_constraint_projection_HCP
  Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
  ☆63Updated 3 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆34Updated 4 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• Crunch-UQ4MI / neuraluq
  ☆197Updated 7 months ago
• ZhaoChenCivilSciML / EQDiscovery-1
  Physics-informed learning of governing equations from scarce data
  ☆12Updated 4 years ago
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆34Updated 4 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆94Updated 2 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆38Updated 3 years ago
• YuntianChen / SGA-PDE
  Symbolic genetic algorithm for discovering open-form partial differential equations
  ☆43Updated 3 years ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆332Updated 3 years ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆99Updated 2 months ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• PML-UCF / pinn_ode_tutorial
  ☆131Updated 3 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 6 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆67Updated 5 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• xgxgnpu / My-awesome-PINN-papers
  ☆34Updated 3 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆40Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• caio-davi / PSO-PINN
  Physics-Informed Neural Networks Trained with Particle Swarm Optimization
  ☆25Updated 3 years ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆243Updated last year
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago