Alternatives and similar repositories for jinns

Users that are interested in jinns are comparing it to the libraries listed below

• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆48Updated 2 years ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆69Updated 2 years ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆22Updated last year
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆49Updated 3 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated 3 weeks ago
• tum-pbs / unrolling
  ☆17Updated 4 months ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆48Updated 4 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆52Updated last month
• LLNL / GPLaSDI
  ☆34Updated 3 weeks ago
• YaoGroup / MultistageNN
  Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
  ☆43Updated last year
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 9 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆39Updated last year
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated last month
• lu-group / multifidelity-deeponet
  Multifidelity DeepONet
  ☆33Updated last year
• comp-physics / CPINN
  Competitive Physics Informed Networks
  ☆30Updated 7 months ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆29Updated 2 months ago
• pierremtb / UQPINNs-TF2.0
  TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…
  ☆20Updated 2 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆70Updated last year
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• Willcox-Research-Group / ROM-OpInf-Combustion-2D
  Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …
  ☆30Updated 2 years ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆51Updated this week
• pswpswpsw / paper-nif
  ☆38Updated last year
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• CarlosJose126 / NeuralODE-ROM
  This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
  ☆19Updated 2 years ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆29Updated 7 months ago
• Andrewpensoneault / HMC-B-PINN---Jax-tutorial
  B-PINN - Jax - HMC tutorial
  ☆18Updated 2 years ago