ETH Zürich Deep Learning in Scientific Computing Master's course 2023
☆124Jul 23, 2024Updated last year
Alternatives and similar repositories for DLSC-2023
Users that are interested in DLSC-2023 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆223Jul 27, 2024Updated last year
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆49Jul 24, 2024Updated last year
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆376May 12, 2025Updated last year
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆29Jun 4, 2023Updated 2 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆21Jun 19, 2024Updated last year
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆13May 3, 2021Updated 5 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆40Jul 12, 2023Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Apr 28, 2023Updated 3 years ago
- This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH join…☆25Apr 7, 2024Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆83Aug 4, 2023Updated 2 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆48Apr 16, 2025Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆544Mar 26, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Physics Informed Neural Networks: a starting step for CFD specialists☆41May 12, 2022Updated 4 years ago
- ☆16Jan 18, 2024Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆379Jul 14, 2023Updated 2 years ago
- ☆26Jul 7, 2022Updated 3 years ago
- code☆20Sep 8, 2023Updated 2 years ago
- ☆417Dec 3, 2022Updated 3 years ago
- Cheat sheet for the "Deep Learning" course at ETH Zürich☆20Nov 13, 2019Updated 6 years ago
- Solve mass spring damper system with physics-informed neural networks in MATLAB☆15Apr 22, 2026Updated last month
- Papers and codes of Physics-informed Deep Compositional Operator Network☆13Oct 31, 2025Updated 6 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆28Mar 17, 2026Updated 2 months ago
- ☆48Dec 7, 2022Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated last year
- ☆117Feb 5, 2025Updated last year
- ☆537Apr 1, 2025Updated last year
- The public repository about our joint FINN research project☆38Oct 28, 2022Updated 3 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆223Mar 21, 2026Updated 2 months ago
- ☆1,100Apr 9, 2026Updated last month
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆31Aug 2, 2022Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆110Apr 15, 2022Updated 4 years ago
- ☆81Aug 9, 2024Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Introductory workshop on using deep neural networks for symbolic regression☆18Feb 8, 2026Updated 3 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated last year