Alternatives and similar repositories for dnosearch

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

• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 11 months ago
• googleinterns / invobs-data-assimilation
  ☆38Updated 4 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 4 years ago
• neuraloperator / pino-closure-models
  Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".
  ☆14Updated last month
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• MatteoTomasetto / SHRED-ROM
  Reduced order modeling with shallow recurrent decoder networks
  ☆19Updated 3 weeks ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆37Updated last year
• cselab / LED
  ☆21Updated 3 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• mariodeflorio / AI-Lorenz
  ☆35Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆27Updated 2 months ago
• opannekoucke / pdenetgen
  Python package for NN generation from physics
  ☆15Updated 2 years ago
• elizqian / operator-inference
  ☆10Updated 2 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• luckystarufo / MrCAE
  a multiresolution convolutional autoencoder architecture
  ☆23Updated 4 years ago
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆35Updated 5 years ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆17Updated 2 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆15Updated 3 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated 2 years ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆38Updated 2 years ago
• atzberg / geo_neural_op
  Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…
  ☆32Updated last month
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆39Updated last year
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆33Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆41Updated 3 years ago
• camlab-ethz / GenCFD
  Code for the paper "Generative AI for fast and accurate statistical computation of fluids"
  ☆48Updated 6 months ago
• neuraloperator / cond-diffusion-operators-edm
  ☆19Updated last year
• sandialabs / quinn
  Quantification of Uncertainties in Neural Networks
  ☆11Updated 3 months ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆20Updated 3 years ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago