PetraVidnerova / rbf_for_tf2Links
RBF Layer for tf.keras using Tensorflow 2.0 (work in progress!)
☆47Updated 5 years ago
Alternatives and similar repositories for rbf_for_tf2
Users that are interested in rbf_for_tf2 are comparing it to the libraries listed below
Sorting:
- RBF layer for Keras☆144Updated 2 years ago
- physics-guided neural networks (phygnn)☆98Updated last month
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- Transformers for modeling physical systems☆144Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆33Updated 4 years ago
- Multi-objective Bayesian optimization☆93Updated 2 years ago
- ☆41Updated 7 years ago
- ☆85Updated 2 years ago
- Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.☆50Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆12Updated 4 years ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆62Updated 3 years ago
- ☆89Updated 2 years ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆110Updated 4 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆102Updated 5 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆15Updated 8 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- Kriging for Analysis, Design optimization, And expLoration (KADAL)☆19Updated 3 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- ☆193Updated 6 months ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆53Updated 2 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆105Updated 7 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Symbolic genetic algorithm for discovering open-form partial differential equations☆42Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆57Updated 3 years ago