Alternatives and similar repositories for simulai

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

• pdearena / pdearena
  ☆260Updated 8 months ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆90Updated 2 weeks ago
• Crunch-UQ4MI / neuraluq
  ☆180Updated 2 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆144Updated last month
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆505Updated this week
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆165Updated 6 months ago
• amazon-science / boon
  Datasets and code for results presented in the BOON paper
  ☆43Updated 2 years ago
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆53Updated last year
• NVIDIA / physicsnemo-sym
  Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …
  ☆247Updated last week
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆135Updated 3 years ago
• qianyingcao / Laplace-Neural-Operator
  ☆87Updated 2 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆59Updated this week
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆117Updated 5 years ago
• openhackathons-org / End-to-End-AI-for-Science
  This repository containts materials for End-to-End AI for Science
  ☆166Updated last week
• PredictiveIntelligenceLab / jaxpi
  ☆308Updated last month
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆54Updated last year
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆113Updated 3 months ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆140Updated last year
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆124Updated last year
• a-tierz / AMB_TINNs_tutorial
  ☆14Updated 8 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…
  ☆73Updated 2 weeks ago
• amazon-science / probconserv
  Datasets and code for results presented in the ProbConserv paper
  ☆53Updated 11 months ago
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆438Updated 3 weeks ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆231Updated 7 months ago
• jkneifl / VENI-VINDy-VICI
  An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
  ☆32Updated 3 months ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆115Updated 3 years ago
• quercushernandez / ThermodynamicsGNN
  Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
  ☆100Updated 9 months ago
• raj-brown / APMA_2070_ENGN_2912_SPRING_2024
  ☆62Updated 7 months ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆112Updated 10 months ago