IBM / simulaiLinks
A toolkit with data-driven pipelines for physics-informed machine learning.
☆193Updated 4 months ago
Alternatives and similar repositories for simulai
Users that are interested in simulai are comparing it to the libraries listed below
Sorting:
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated this week
- Physics-Informed Neural networks for Advanced modeling☆692Updated last week
- ☆200Updated 9 months ago
- ☆287Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆458Updated 3 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆187Updated last year
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆77Updated 2 years ago
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- ☆400Updated 2 months ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆159Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated last month
- Datasets and code for results presented in the BOON paper☆45Updated 2 years ago
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆307Updated 2 months ago
- ☆107Updated 9 months ago
- Gaussian Processes for Experimental Sciences☆233Updated 6 months ago
- Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers,…☆92Updated last week
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 9 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆155Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆96Updated 2 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆148Updated 4 years ago
- Bootcamp notebooks☆62Updated 5 months ago
- Code for the paper Universal Physics Transformers☆149Updated 6 months ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆44Updated last week
- ☆118Updated 6 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆343Updated 2 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆214Updated 5 months ago
- ☆63Updated last year
- Introductory workshop on PINNs using the harmonic oscillator☆139Updated 2 months ago