fabianjaeger1 / DLSC
This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs.
☆17Updated 10 months ago
Alternatives and similar repositories for DLSC:
Users that are interested in DLSC are comparing it to the libraries listed below
- ☆52Updated last week
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆130Updated 2 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆60Updated 3 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆61Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆82Updated 2 months ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆31Updated last week
- ☆53Updated 11 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆44Updated 2 weeks ago
- Example problems in Physics informed neural network in JAX☆78Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆60Updated 3 months ago
- Transformers for modeling physical systems☆134Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 6 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆42Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆25Updated 4 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆74Updated last month
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆58Updated last month
- Implementation of Physics-Informed Diffusion Models☆49Updated this week
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 9 months ago
- ☆83Updated 2 years ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆24Updated 2 months ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- Code for Lie Symmetries SSL paper☆19Updated 11 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆12Updated 6 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆21Updated 3 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- JAX-DIPS is a differentiable interfacial PDE solver.☆41Updated 5 months ago
- ☆188Updated 6 months ago
- ☆15Updated 6 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆28Updated 8 months ago