Pinned Repositories
B-PINNs
Pytorch implementation of Bayesian physics-informed neural networks
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
iterative-ensemble-smoother
a simple demo on iterative ensemble smoother(ies) for inverse problem
NeuralSolvers
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
PINN-1
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
pinn_burgers
Physics Informed Neural Network (PINN) for Burgers' equation.
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
Oilman-programmer's Repositories
Oilman-programmer/B-PINNs
Pytorch implementation of Bayesian physics-informed neural networks
Oilman-programmer/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Oilman-programmer/iterative-ensemble-smoother
a simple demo on iterative ensemble smoother(ies) for inverse problem
Oilman-programmer/NeuralSolvers
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Oilman-programmer/PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Oilman-programmer/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Oilman-programmer/PINN-1
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Oilman-programmer/pinn_burgers
Physics Informed Neural Network (PINN) for Burgers' equation.
Oilman-programmer/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Oilman-programmer/PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
Oilman-programmer/sciann
Deep learning for Engineers - Physics Informed Deep Learning
Oilman-programmer/TgNN-Surrogate
The construction of TgNN surrogate
Oilman-programmer/Upscaling-based-on-TgCNN
Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder