Alternatives and similar repositories for MechAgents:

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

• lamm-mit / LeafGAN
  ☆9Updated 10 months ago
• qianyingcao / Laplace-Neural-Operator
  ☆69Updated 5 months ago
• karthik-codex / autogen_FEA
  Conversational agents for engineering simulations with minimal human input using Microsoft AutoGen & GPT-4o.
  ☆29Updated 6 months ago
• MinglangYin / DIMON
  ☆38Updated 3 months ago
• lamm-mit / MeLM
  ☆63Updated last year
• nmerovingian / PINN-CV
  Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law
  ☆16Updated last year
• lamm-mit / HierarchicalDesign
  A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical met…
  ☆23Updated last year
• lamm-mit / AtomAgents
  ☆64Updated 4 months ago
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆15Updated 3 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆28Updated 8 months 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…
  ☆60Updated 3 months ago
• vivekoommen / UNetForMicrostructureEvolution
  Rethinking materials simulations: Blending DNS with Neural Operators
  ☆17Updated 7 months ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆25Updated 4 months ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆44Updated 2 weeks ago
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆38Updated last year
• fsahli / Delta-PINNs
  ☆26Updated 7 months ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆49Updated this week
• anthonyzhou-1 / ldm_pdes
  ☆18Updated 2 weeks ago
• Ali-Stanford / ChatGPT_Programming_Numerical_Methods
  Coding numerical methods using ChatGPT: successes, failures, and challenges
  ☆19Updated last year
• Terry-cyx / MetaOpenFOAM
  MetaOpenFOAM: an LLM-based multi-agent framework for CFD
  ☆31Updated 2 weeks ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆90Updated last week
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆46Updated 2 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆38Updated last year
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆61Updated last year
• ComputationalDomain / wakeFoam
  An external library for OpenFOAM, containing a custom boundary condition for a velocity field behind cylinder.
  ☆21Updated last year
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• lamm-mit / MateriomicTransformer
  Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
  ☆15Updated last year
• Rose-STL-Lab / Dynamic-Adaptation-Network
  ☆26Updated last year