openhackathons-org / End-to-End-AI-for-Science
This repository containts materials for End-to-End AI for Science
☆147Updated this week
Alternatives and similar repositories for End-to-End-AI-for-Science
Users that are interested in End-to-End-AI-for-Science are comparing it to the libraries listed below
Sorting:
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆243Updated this week
- Applications of PINOs☆125Updated 2 years ago
- Pytorch bindings for Fortran☆93Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆173Updated last week
- A library for directly calling PyTorch ML models from Fortran.☆115Updated last week
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆30Updated 9 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆141Updated last month
- A Python package for spectral proper orthogonal decomposition (SPOD).☆108Updated 5 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆211Updated this week
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆150Updated 4 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆98Updated 8 months ago
- ☆47Updated 2 years ago
- ☆52Updated 2 years ago
- Bootcamp notebooks☆54Updated last year
- Simple OpenACC Fortran Examples☆56Updated 3 years ago
- ☆26Updated 10 months ago
- An Online Deep Learning Interface for HPC programs on NVIDIA GPUs☆167Updated 2 weeks ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆254Updated 2 years ago
- Introductory workshop on PINNs using the harmonic oscillator☆122Updated 2 weeks ago
- ☆95Updated 3 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆109Updated 9 months ago
- A Computational Fluid Dynamics (CFD) course with Python☆82Updated last year
- ☆447Updated last month
- ☆221Updated 6 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆65Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- ☆30Updated last year
- ☆193Updated 9 months ago