salomonhotegni / MDMTNLinks
Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"
☆16Updated 7 months ago
Alternatives and similar repositories for MDMTN
Users that are interested in MDMTN are comparing it to the libraries listed below
Sorting:
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated last year
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆20Updated 2 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆20Updated 2 years ago
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆18Updated 2 years ago
- Paper List of Physics-Informed Neural Network (PINN)☆52Updated last week
- ☆36Updated 3 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Updated last year
- ☆10Updated 4 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
- Kolmogorov-Arnold Networks in MATLAB☆57Updated 6 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆42Updated last year
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 3 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆23Updated 9 months ago
- Physics-informed neural networks (PINNs)☆14Updated 3 years ago
- Predicting wave propagation on shallow water with deep neural networks☆22Updated 2 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Updated 3 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆17Updated 2 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆53Updated 3 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆25Updated 3 years ago
- ☆12Updated 3 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆13Updated 8 months ago
- The public repository about our joint FINN research project☆37Updated 3 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Updated 2 months ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Updated 5 years ago
- ☆25Updated 7 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆31Updated last month
- ☆29Updated 3 years ago