Alternatives and similar repositories for NNets-and-Diffeqns:

Users that are interested in NNets-and-Diffeqns are comparing it to the libraries listed below

• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 4 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆62Updated 5 years ago
• pswpswpsw / paper-nif
  ☆35Updated last year
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆63Updated 10 months ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆142Updated 5 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆114Updated 2 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆88Updated 3 years ago
• PhIMaL / DeePyMoD
  ☆45Updated last year
• remcovandermeer / Optimally-Weighted-PINNs
  ☆40Updated 4 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆47Updated 4 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆67Updated last year
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆32Updated 3 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆62Updated 4 years ago
• mroberto166 / nio
  ☆30Updated last year
• computational-imaging / GraphPDE
  ☆47Updated 2 years ago
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆46Updated 6 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆38Updated 2 years ago
• maziarraissi / PDE_GP
  Machine learning of linear differential equations using Gaussian processes
  ☆24Updated 6 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆189Updated 3 years ago
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 5 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆25Updated last year
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆91Updated 2 years ago
• snagcliffs / parametric-discovery
  ☆24Updated 6 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆83Updated last year
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆55Updated 4 years ago
• Jianxun-Wang / phygeonet
  PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
  ☆82Updated 4 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆123Updated 3 years ago