Alternatives and similar repositories for MCNP

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

• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆84Updated 5 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated 3 weeks ago
• dc3042 / CROM_offline_training
  ☆23Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆35Updated 2 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆32Updated this week
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆51Updated 2 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…
  ☆65Updated 6 months ago
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆25Updated last month
• computational-imaging / GraphPDE
  ☆50Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆55Updated 11 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆21Updated 6 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆70Updated 6 months ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• thu-ml / GNOT
  ☆72Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆43Updated last year
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆20Updated 11 months ago
• csccm-iitd / WNO
  ☆53Updated 3 months ago
• pswpswpsw / paper-nif
  ☆38Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆71Updated last month
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆41Updated last year
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated 11 months ago
• erichson / SuperBench
  ☆43Updated 8 months ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆25Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆27Updated 5 months ago
• anthonyzhou-1 / ldm_pdes
  ☆27Updated 2 months ago
• HaoZhongkai / GNOT
  ☆43Updated last year
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 11 months ago