Alternatives and similar repositories for simulai

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

• Crunch-UQ4MI / neuraluq
  ☆197Updated 7 months ago
• pdearena / pdearena
  ☆276Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆590Updated this week
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆455Updated last month
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆93Updated 2 weeks ago
• amazon-science / boon
  Datasets and code for results presented in the BOON paper
  ☆45Updated 2 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆116Updated 3 years ago
• amazon-science / probconserv
  Datasets and code for results presented in the ProbConserv paper
  ☆56Updated last year
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆178Updated 11 months ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆61Updated 3 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆159Updated 7 months ago
• NVIDIA / physicsnemo-sym
  Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …
  ☆284Updated this week
• PredictiveIntelligenceLab / jaxpi
  ☆374Updated last week
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆158Updated 10 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆419Updated 5 months ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆74Updated last year
• openhackathons-org / End-to-End-AI-for-Science
  This repository containts materials for End-to-End AI for Science
  ☆197Updated last month
• qianyingcao / Laplace-Neural-Operator
  ☆99Updated 7 months ago
• aai-institute / continuiti
  Learning function operators with neural networks.
  ☆34Updated last year
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆120Updated last year
• TheodoreWolf / pinns
  Playing around with Phyiscs-Informed Neural Networks
  ☆96Updated 4 months ago
• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆228Updated 4 months ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆145Updated 4 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆229Updated 4 years ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆336Updated this week
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆209Updated 3 months ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆148Updated last year