salomonhotegni / MDMTNLinks
Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"
β16Updated 6 months ago
Alternatives and similar repositories for MDMTN
Users that are interested in MDMTN are comparing it to the libraries listed below
Sorting:
- Physics-Informed Neural Networks Trained with Particle Swarm Optimizationβ25Updated 3 years ago
- π Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scieβ¦β11Updated last year
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networksβ12Updated 2 years ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202β¦β56Updated 2 years ago
- Paper List of Physics-Informed Neural Network (PINN)β44Updated last week
- β10Updated 4 years ago
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation Fβ¦β20Updated last year
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform toβ¦β51Updated 2 years ago
- Physics-informed neural networks (PINNs)β14Updated 3 years ago
- β34Updated 3 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learningβ39Updated 11 months ago
- All the code available to reproduce the paper "Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in theβ¦β13Updated 6 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modelingβ10Updated 2 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)β25Updated last year
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorchβ20Updated 2 years ago
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my tβ¦β16Updated 3 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradientsβ23Updated 7 months ago
- β12Updated 2 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used β¦β34Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 4 years ago
- Hidden Fluid Mechanics in PyTorchβ19Updated 2 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabricationβ19Updated 3 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"β12Updated 3 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)β44Updated 3 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networβ¦β31Updated 4 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networksβ24Updated 2 years ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning methodβ63Updated 3 years ago
- a novel and powerful meta-heuristic algorithmβ13Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal dataβ48Updated 2 years ago
- The public repository about our joint FINN research projectβ38Updated 3 years ago