Alternatives and similar repositories for BPINN-Wildfire

Users that are interested in BPINN-Wildfire are comparing it to the libraries listed below

• gduthe / windfarm-gnn
  GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.
  ☆17Updated last week
• zLi90 / frehg
  Coupled surface-subsurface flow solver
  ☆11Updated 3 years ago
• Inria-Chile / assessing-pinns-ocean-modelling
  Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"
  ☆12Updated 2 years ago
• ZiluM / PNAS-Kmeans-ENSO
  PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño
  ☆12Updated 3 years ago
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• JRice15 / physics-informed-autoencoders
  Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …
  ☆35Updated 2 years ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆21Updated last year
• Blue-Giant / FMPINN
  Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…
  ☆12Updated last year
• jayroxis / Cophy-PGNN
  ☆19Updated 3 years ago
• p-hss / consistency-climate-downscaling
  ☆31Updated 2 months ago
• geekyifei / randomized-PINN
  Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
  ☆10Updated 3 months ago
• curian127 / DAexprCode
  Code for My book
  ☆18Updated 9 months ago
• in1311 / DKNN
  ☆24Updated last year
• ashesh6810 / machine_learning_for_climate
  A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns
  ☆12Updated 6 years ago
• UT-CHG / SWEMniCS
  ☆13Updated last month
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆27Updated last week
• tpt5cu / solarIrradiancePredictor
  Machine Learning approaches to predict Direct Horizontal and Direct Normal Irradiance from the sun.
  ☆13Updated 4 years ago
• soanagno / wakenet
  Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation
  ☆38Updated last year
• awikner / CHyPP
  MATLAB code for Combined Hybrid-Parallel Prediction
  ☆11Updated 2 years ago
• kfukami / Voronoi-CNN
  Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…
  ☆53Updated last year
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆68Updated 4 years ago
• marcusnobrega-eng / HydroPol2D
  This is the repository file of HydroPol2D Model
  ☆11Updated last month
• railleon / FD-PINN_dynamics
  Physics-informed deep learning for structural dynamics under moving load
  ☆16Updated 9 months ago
• arkadaw9 / PGNN
  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
  ☆109Updated 3 years ago
• IPL-UV / AIDE
  ☆19Updated 3 weeks ago
• mkhoirun-najiboi / mycopula
  Matlab toolbox for constructing a copula-based joint distribution for bivariate, trivariate, and multivariate cases.
  ☆10Updated last year
• Hy23333 / PFNN
  Official implementation of Learning Dissipative Chaos In A Linear Way
  ☆11Updated 5 months ago
• abihlo / pinnsSWE
  ☆19Updated 3 years ago
• GISWLH / Transformer_GRACE
  fill the GRACE gap using novel Transformer method
  ☆14Updated 7 months ago
• giuliamesc / BPINNs
  ☆31Updated 2 years ago