IBM / simulaiLinks
A toolkit with data-driven pipelines for physics-informed machine learning.
☆191Updated 3 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 last week
- ☆197Updated 9 months ago
- Physics-Informed Neural networks for Advanced modeling☆689Updated last week
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- ☆282Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆158Updated 11 months ago
- Datasets and code for results presented in the BOON paper☆45Updated 2 years ago
- OSS library that implements deep learning methods for partial differential equations and much more☆456Updated 3 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated last week
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆167Updated 8 months ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆341Updated last month
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆185Updated last year
- Using graph network to solve PDEs☆427Updated 7 months ago
- 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 curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆77Updated 2 years ago
- Gaussian Processes for Experimental Sciences☆231Updated 6 months ago
- Bootcamp notebooks☆62Updated 5 months ago
- A Bayesian optimization toolbox built on TensorFlow☆244Updated 2 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆121Updated last year
- ☆118Updated 6 years ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆211Updated 5 months ago
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆301Updated last month
- Characterizing possible failure modes in physics-informed neural networks.☆147Updated 4 years ago
- This repository containts materials for End-to-End AI for Science☆216Updated 2 weeks ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆36Updated 10 months ago
- Kolmogorov-Arnold Networks built on JAX☆93Updated 3 weeks ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆319Updated 7 months ago
- ☆392Updated last month
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 8 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆245Updated last year