NREL / phygnn

Related projects ⓘ

Alternatives and complementary repositories for phygnn

• gmisy / Physics-Informed-Neural-Networks-for-Power-Systems
  ☆78Updated 4 years ago
• PML-UCF / pinn_ode_tutorial
  ☆113Updated 2 years ago
• arkadaw9 / PGNN
  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
  ☆104Updated 3 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆82Updated 3 months ago
• GargyaGokhale / PhysNet_Thermal_Models
  Physics informed neural networks for control-oriented building thermal models
  ☆23Updated 2 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆115Updated last year
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆77Updated last month
• Crunch-UQ4MI / neuraluq
  ☆152Updated 8 months ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆34Updated 3 months ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• ZhaoChenCivilSciML / EQDiscovery-1
  Physics-informed learning of governing equations from scarce data
  ☆10Updated 3 years ago
• jbesty / PINN_system_identification
  ☆26Updated last year
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆52Updated 2 years ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆271Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆24Updated 3 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆81Updated 5 months ago
• clegaard / deep_learning_for_dynamical_systems
  ☆79Updated last year
• tamu-engineering-research / Open-source-power-dataset
  We present PSML, a first-of-its-kind open-access multi-scale time-series dataset, to aid in the development of data-driven machine learni…
  ☆56Updated last year
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆49Updated 2 years ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆60Updated 4 years ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆58Updated 7 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆76Updated 3 weeks ago
• kpchamp / SINDySR3
  ☆27Updated 4 years ago
• shaandesai1 / TransferDE
  One-Shot Transfer Learning of PINNs
  ☆10Updated last year
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆43Updated this week
• loiseaujc / SINDy
  ☆41Updated 6 years ago