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GitHub topics: neural-pde

SciML/DiffEqFlux.jl

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Language: Julia - Size: 181 MB - Last synced at: about 18 hours ago - Pushed at: 6 days ago - Stars: 889 - Forks: 156

aurelienperez/sciphy-RL-for-DOCTR-L

Offline Reinforcement Learning with neural PDEs.

Language: Python - Size: 8.1 MB - Last synced at: 12 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

tensordiffeq/TensorDiffEq

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Language: Python - Size: 1.28 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 114 - Forks: 42

akapet00/schrodinger

Comparison of numerical solutions of the 1-D time-independent Schrödinger equation obtained through FDM, FEM and the neural network approach.

Language: Python - Size: 5.18 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

shuoyang2000/neural_hybrid_cbf

Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems" by S. Yang, Y. Chen, X. Yin, R. Mangharam

Language: Python - Size: 35.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

MachineLearningJournalClub/MLJC-UniTo-ProjectX-2020-public

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

Language: Jupyter Notebook - Size: 115 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 41 - Forks: 7

Saydemr/protein-essentiality-prediction

Neural PDEs tested on protein networks

Language: Jupyter Notebook - Size: 6.38 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

akapet00/neural-bhte

Numerical solution and uncertainty quantification of Pennes' bioheat transfer equation in 1-D using deep neural network solver.

Language: Jupyter Notebook - Size: 6.14 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

Related Keywords
neural-pde 8 differential-equations 3 scientific-machine-learning 3 pinns 2 neural-networks 2 physics-informed-learning 2 partial-differential-equations 2 machine-learning 2 autonomous-racing 1 schrodinger-equation 1 numerical-analysis 1 finite-element-method 1 finite-difference-method 1 tensorflow2 1 tensorflow 1 physics-informed-neural-networks 1 multi-gpu-training 1 multi-gpu 1 control-barrier-functions 1 hybrid-systems 1 neural-network 1 sci-ml 1 wildfire-propagation 1 wrf 1 gnn 1 bioheat-transfer-equation 1 mc-dropout 1 uncertainty-quantification 1 delay-differential-equations 1 differentialequations 1 neural-dde 1 neural-differential-equations 1 neural-jump-diffusions 1 neural-ode 1 neural-sde 1 neural-sdes 1 ordinary-differential-equations 1 pinn 1 scientific-ai 1 scientific-ml 1 stiff-ode 1 stochastic-differential-equations 1 deep-learning 1 reinforcement-learning 1 stochastic-control 1 collocation 1 distributed-systems 1 gpu 1 gpu-acceleration 1 gpu-computing 1