Alternatives and similar repositories for rbf_for_tf2

Users that are interested in rbf_for_tf2 are comparing it to the libraries listed below

• PetraVidnerova / rbf_keras
  RBF layer for Keras
  ☆144Updated 2 years ago
• zhry10 / DeepLSTM
  Deep LSTM for highly nonlinear system modeling
  ☆56Updated 5 years ago
• eugeniashurko / rbfnnpy
  Radial Basis Function Neural Network implementation for Python
  ☆88Updated 5 years ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆93Updated 3 weeks ago
• flowdiagnosticsitb / KADAL
  Kriging for Analysis, Design optimization, And expLoration (KADAL)
  ☆19Updated 3 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• zxgcqupt / PINNs4SRA
  ☆13Updated 6 months ago
• ablancha / gpsearch
  Bayesian optimization and active learning with likelihood-weighted acquisition functions
  ☆16Updated last year
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 3 years ago
• arkadaw9 / PGNN
  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
  ☆109Updated 3 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆75Updated 2 years ago
• ETH-WindMil / JSD-SBI
  A toolbox for Sequential Bayesian Inference in uncertain nonlinear dynamic systems.
  ☆12Updated last year
• YuntianChen / Hard_constraint_projection_HCP
  Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
  ☆61Updated 3 years ago
• ZhaoChenCivilSciML / EQDiscovery-1
  Physics-informed learning of governing equations from scarce data
  ☆11Updated 4 years ago
• luckystarufo / DMD_for_Human_motion
  ☆36Updated 6 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years 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 6 years ago
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆30Updated 4 years ago
• caio-davi / PSO-PINN
  Physics-Informed Neural Networks Trained with Particle Swarm Optimization
  ☆20Updated 2 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 4 years ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆66Updated 8 years ago
• kfukami / Voronoi-CNN
  Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…
  ☆52Updated last year
• YuxuanXiu / PGNN.pytorch
  A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"
  ☆15Updated 6 years ago
• SujanNeupane42 / GANs_for_Tabular_data
  This repo contains PyTorch implementation of cGAN, cWGAN, and cWGAN-gp for tabular data.
  ☆14Updated last year
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆30Updated 4 years ago
• jorgemarpa / PELS-VAE
  Physics-Enhanced Latent Space Variational Autoencoder
  ☆9Updated 2 years ago
• DSARG / amorf
  A Multi-Output Regression Framework in Python
  ☆31Updated 4 years ago
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆39Updated 4 years ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago