mindspore-ai / mindscience

Related projects ⓘ

Alternatives and complementary repositories for mindscience

• xiaoyuxie-vico / Awesome-ML-PDE
  Resources about Machine Learning for solving PDEs.
  ☆47Updated last year
• yakovlev31 / graphpdes_experiments
  ☆33Updated 3 years ago
• nmerovingian / PINN-CV
  Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law
  ☆13Updated 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
  ☆63Updated 7 months ago
• L-I-M-I-T / LatentNeuralOperator-Paddle
  ☆9Updated 2 weeks ago
• BaratiLab / OFormer
  ☆57Updated 2 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆23Updated 4 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆33Updated 5 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆37Updated 9 months ago
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆85Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆32Updated 7 months ago
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆19Updated 6 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆26Updated 7 months ago
• thu-ml / GNOT
  ☆58Updated last year
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆61Updated last year
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆42Updated 5 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆101Updated last month
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆36Updated last year
• zheyuanhu01 / AugmentedPINN
  Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…
  ☆15Updated last year
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆74Updated last month
• Raocp / 3D-ConvNeuralNet-material-property-prediction
  This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction
  ☆20Updated 4 years ago
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆17Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆40Updated 2 weeks ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆69Updated 3 weeks ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆52Updated 2 years ago
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆49Updated 2 years ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆10Updated 2 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆14Updated 2 weeks ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆128Updated 2 months ago
• computational-imaging / GraphPDE
  ☆45Updated 2 years ago