Alternatives and similar repositories for blog-code

Users that are interested in blog-code are comparing it to the libraries listed below

• Crunch-UQ4MI / neuraluq
  ☆197Updated 7 months ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 3 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• MatthieuDarcy / KernelsOperatorLearning
  ☆11Updated 11 months ago
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 6 years ago
• PhIMaL / DeePyMoD
  ☆49Updated 2 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 5 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• pswpswpsw / paper-nif
  ☆39Updated 2 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 3 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆108Updated 8 months ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• mgisellef / ReviewOfMultiFidelityModels_ToyProblems
  This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…
  ☆12Updated 2 years ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆14Updated last year
• cselab / LED
  ☆21Updated 2 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• FrancescoRegazzoni / LDNets
  ☆58Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆102Updated 4 years ago
• MariusZeinhofer / Natural-Gradient-PINNs-ICML23
  This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…
  ☆24Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 6 months ago
• mroberto166 / nio
  ☆37Updated 2 years ago