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…
  ☆49Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆70Updated 2 years ago
• shamsbasir / investigating_mitigating_failure_modes_in_pinns
  This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…
  ☆18Updated last year
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆54Updated last month
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated last month
• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆40Updated last year
• YaoGroup / MultistageNN
  Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
  ☆44Updated last year
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 4 years ago
• lu-group / multifidelity-deeponet
  Multifidelity DeepONet
  ☆33Updated last year
• benmoseley / intro-to-jax-workshop
  Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
  ☆35Updated last month
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago
• raj-brown / APMA_2070_ENGN_2912_SPRING_2024
  ☆62Updated 7 months ago
• shaandesai1 / TransferDE
  One-Shot Transfer Learning of PINNs
  ☆11Updated last year
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆22Updated last year
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 10 months ago
• mahindrautela / BOPINN
  Bayesian optimized physics-informed neural network for parameter estimation
  ☆29Updated 6 months ago
• giuliamesc / BPINNs
  ☆29Updated last year
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆80Updated last year
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆52Updated 3 weeks ago
• tum-pbs / unrolling
  ☆17Updated 5 months ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆39Updated 7 months ago
• mroberto166 / nio
  ☆32Updated last year
• weipengOO98 / rang_pinn
  Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
  ☆15Updated 3 years ago
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆35Updated 2 months ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• hubertbaty / PINNS-PDE
  ☆30Updated last year
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆21Updated 6 months ago