Alternatives and similar repositories for MechAgents

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

• csml-rpi / Foam-Agent
  ☆40Updated last week
• OrchardLANL / Senseiver
  The Senseiver: attention-based global field reconstruction from sparse observations
  ☆26Updated 10 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆35Updated last year
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆30Updated 11 months ago
• lamm-mit / LeafGAN
  ☆11Updated last year
• qianyingcao / Laplace-Neural-Operator
  ☆93Updated 6 months ago
• sebastkm / hybrid-fem-nn
  ☆32Updated 3 years ago
• lychan110 / metaset
  METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design
  ☆16Updated 2 years ago
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 3 months ago
• Mohamedelrefaie / TransonicSurrogate
  Surrogate Modeling of the Aerodynamic Performance for Transonic Regime
  ☆10Updated last year
• fsahli / Delta-PINNs
  ☆43Updated last month
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆50Updated 2 years ago
• vivekoommen / UNetForMicrostructureEvolution
  Rethinking materials simulations: Blending DNS with Neural Operators
  ☆20Updated last year
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆48Updated last year
• MinglangYin / DIMON
  ☆53Updated 5 months ago
• LithiumDA / CodePDE
  CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  ☆58Updated last month
• atzberg / geo_neural_op
  Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…
  ☆31Updated last month
• Litianyu141 / Gen-FVGN-steady
  A GNN-based PDE solver without pre-computed data
  ☆36Updated 4 months ago
• xiaoyuxie-vico / PyDimension
  Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…
  ☆39Updated 3 weeks ago
• M3RG-IITD / FNO-StressStrain
  Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites
  ☆12Updated 2 years ago
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆80Updated 11 months ago
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆21Updated last year
• CMSL-HKUST / AmorFEA
  ☆13Updated 4 years ago
• lu-group / pinn-thrombus-mri
  Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta
  ☆16Updated last year
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆64Updated 3 years ago
• procf / RhINNs
  Rheology-informed Machine Learning Projects
  ☆21Updated last year
• tumaer / neuralsph
  Neural SPH
  ☆37Updated last year
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆135Updated 3 months ago
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆70Updated 6 months ago
• deng-cy / deep_learning_topology_opt
  Code for paper "Self-Directed Online Machine Learning for Topology Optimization"
  ☆129Updated 7 months ago